You searched for subject:( classification)
.
Showing records 1 – 30 of
33966 total matches.
◁ [1] [2] [3] [4] [5] … [1133] ▶
1.
Ben Hamouda, Iman.
Améliorer le partage des connaissances dans le secteur de la santé en France pour une meilleure qualité des soins : Improve knowledge sharing in the health sector in France for a better quality of care.
Degree: Docteur es, Sciences de gestion, 2018, Université Paris-Saclay (ComUE)
URL: http://www.theses.fr/2018SACLE016
► Le secteur de la santé est caractérisé par une forte utilisation des technologies de l’information et de la communication et par le fait que le…
(more)
▼ Le secteur de la santé est caractérisé par une forte utilisation des technologies de l’information et de la communication et par le fait que le partage des connaissances y joue un rôle important dans l’amélioration de la qualité des soins. Cependant, peu de travaux de recherche ont abordé ce sujet dans la littérature. Ainsi, le but de notre recherche est d'explorer le partage de connaissances dans ce secteur, suite à la mise en place du dossier médical partagé dans les établissements de santé en France. Notre question de recherche repose sur la formulation suivante :Quels sont les enjeux du partage de connaissances sous-jacentes au dossier médical partagé ? Comment améliorer le partage de connaissances le secteur médical moyennant le DMP ?Pour répondre à cette question, nous avons adopté une recherche exploratoire basée sur une méthode d’analyse qualitative, une étude conduite au sein des établissements de santé en France. Trois problèmes majeurs ont été identifiés, à savoir le besoin d’une terminologie commune de santé, d’une interopérabilité des systèmes d'information de santé et d’un consentement éclairé de patient avant le partage de ses données sensibles. Pour remédier à ces problèmes, cette recherche propose un modèle conceptuel pour expliquer le partage de connaissances dans le secteur de la santé, ainsi qu’un modèle ontologique qui étend la nomenclature internationale (SNOMED CT) en y incluant la dimension de la vie privée pour sécuriser l'accès aux données sensibles.
Recently, the healthcare sector has shown a growing interest in information technologies. In particular, the Electronic Health Record (EHR) is increasingly being deployed within healthcare organizations. The ability to share EHR’s underlying knowledge both internally and externally within healthcare organizations has been accepted as a method to improve the quality and delivery of care; however it has also raised important questions related to legal and privacy issues.This research aims to explore the critical factors that impact knowledge sharing in the French healthcare sector. Our main research focus is to answer the question of how to improve Knowledge sharing in the healthcare field?A qualitative exploratory study was handled to investigate EHR’s underlying Knowledge sharing in French hospitals.Three major issues were identified, namely the need for: a common healthcare terminology, the interoperability among healthcare information systems and the patient’s informed consents before sharing his sensitive data.In the end, this research purposes both a conceptual research model for explaining organizational value of knowledge sharing in healthcare sector and an ontological framework that extends the Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) with privacy dimension to secure access to sensitive patient’s data.
Advisors/Committee Members: Baujard, Corinne (thesis director).
Subjects/Keywords: Classification
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share





❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Ben Hamouda, I. (2018). Améliorer le partage des connaissances dans le secteur de la santé en France pour une meilleure qualité des soins : Improve knowledge sharing in the health sector in France for a better quality of care. (Doctoral Dissertation). Université Paris-Saclay (ComUE). Retrieved from http://www.theses.fr/2018SACLE016
Chicago Manual of Style (16th Edition):
Ben Hamouda, Iman. “Améliorer le partage des connaissances dans le secteur de la santé en France pour une meilleure qualité des soins : Improve knowledge sharing in the health sector in France for a better quality of care.” 2018. Doctoral Dissertation, Université Paris-Saclay (ComUE). Accessed March 07, 2021.
http://www.theses.fr/2018SACLE016.
MLA Handbook (7th Edition):
Ben Hamouda, Iman. “Améliorer le partage des connaissances dans le secteur de la santé en France pour une meilleure qualité des soins : Improve knowledge sharing in the health sector in France for a better quality of care.” 2018. Web. 07 Mar 2021.
Vancouver:
Ben Hamouda I. Améliorer le partage des connaissances dans le secteur de la santé en France pour une meilleure qualité des soins : Improve knowledge sharing in the health sector in France for a better quality of care. [Internet] [Doctoral dissertation]. Université Paris-Saclay (ComUE); 2018. [cited 2021 Mar 07].
Available from: http://www.theses.fr/2018SACLE016.
Council of Science Editors:
Ben Hamouda I. Améliorer le partage des connaissances dans le secteur de la santé en France pour une meilleure qualité des soins : Improve knowledge sharing in the health sector in France for a better quality of care. [Doctoral Dissertation]. Université Paris-Saclay (ComUE); 2018. Available from: http://www.theses.fr/2018SACLE016

University of Texas – Austin
2.
Kolawole, Olamide Temitayo.
Classification of internet memes.
Degree: MSin Engineering, Computer science, 2015, University of Texas – Austin
URL: http://hdl.handle.net/2152/35301
► This paper explores a system that could be used to classify internet memes by certain characteristics. The anatomy of these viral images are explored to…
(more)
▼ This paper explores a system that could be used to classify internet memes by certain characteristics. The anatomy of these viral images are explored to find the best indicators to classify an internet meme. Although more than one indicator was found, the paper focuses on the using image data to perform the
classification. Further research is done to determine which type of feature descriptor would be used based on past successes of other projects. A dataset is a scraped from a popular repository of memes on the internet and their features extracted. Features are passed into a SVM classifier to derive a unique listing of potential labels that an image could have.
Although training times were very reasonable as the number of classes increased, result accuracy degrade with increase in number of classes trained on the same model.
Advisors/Committee Members: Barber, Suzanne (advisor), Grauman, Kristen (committee member).
Subjects/Keywords: Classification
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share





❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Kolawole, O. T. (2015). Classification of internet memes. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/35301
Chicago Manual of Style (16th Edition):
Kolawole, Olamide Temitayo. “Classification of internet memes.” 2015. Masters Thesis, University of Texas – Austin. Accessed March 07, 2021.
http://hdl.handle.net/2152/35301.
MLA Handbook (7th Edition):
Kolawole, Olamide Temitayo. “Classification of internet memes.” 2015. Web. 07 Mar 2021.
Vancouver:
Kolawole OT. Classification of internet memes. [Internet] [Masters thesis]. University of Texas – Austin; 2015. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/2152/35301.
Council of Science Editors:
Kolawole OT. Classification of internet memes. [Masters Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/35301
3.
Poirier, Damien.
Des textes communautaires à la recommandation : From texts to recommendation.
Degree: Docteur es, Informatique, 2011, Université d'Orléans
URL: http://www.theses.fr/2011ORLE2005
► La thèse concerne la transformation de données textuelles non structurées en données structurées et exploitables par des systèmes de recommandation. Deux grandes catégories d'informations sont…
(more)
▼ La thèse concerne la transformation de données textuelles non structurées en données structurées et exploitables par des systèmes de recommandation. Deux grandes catégories d'informations sont utilisées dans le domaine des moteurs de recommandation : les données descriptives de contenus comme les méta-données ou les tags (filtrage thématique), et les données d'usages qui peuvent être des notes ou encore des pages Web visitées par exemple (filtrage collaboratif). D'autres données sont présentes sur le Web et ne sont pas encore réellement exploitées. Avec l'émergence du Web 2.0, les internautes sont de plus en plus amenés à partager leurs sentiments, opinions, expériences sur des produits, personnalités, films, musiques, etc. Les données textuelles produites par les utilisateurs représentent potentiellement des sources riches d'informations qui peuvent être complémentaires des données exploitées actuellement par les moteurs de recommandation et peuvent donc ouvrir de nouvelles voies d'études dans ce domaine en plein essor. Notre objectif dans le cadre de la thèse est de produire, à partir de commentaires issus de sites communautaires (blogs ou forums), des matrices d'entrées pertinentes pour les systèmes de recommandation. L'idée sous-jacente est de pouvoir enrichir un système pour un service débutant, qui possède encore peu d'utilisateurs propres, et donc peu de données d'usages, par des données issues d'autres utilisateurs. Nous faisons tout d'abord un état de l'art de la recommandation automatique. Nous présentons ensuite le moteur ainsi que les données utilisées pour les expérimentations. Le chapitre suivant décrit les premières expérimentations en mode thématique. Nous faisons ensuite un nouvel état de l'art sur la classification d'opinion. Pour finir, nous décrivons les expérimentations menées pour l'approche collaborative à l'aide de la classification d'opinion.
The thesis is about the transformation of unstructured textual data in structured data in order to be used by a recommender system. Recommender systems can operate on two main types of data: content descriptors as metadata or tags (content-based filtering), and usage data as rates or visited Web pages for example (collaborative filtering). Other data exist on the Web which are not used yet. With the emergence of the Web 2.0, users share their feelings, opinions, experiences on products, personalities, movies, music, etc. (through comments for example). This textual data generated by users potentially represent rich sources of information which can supplement data exploited by recommender systems. The exploitation of this kind of data could open new paths in this burgeoning field. Our objective in this thesis is to generate matrices relevant for recommender systems. The underlying idea is to enrich a system for a beginner service, which has still few own users, then too little usage data, by information on other users on the Web. The thesis begins with a state of the art of automatic recommendation. Then, we present the recommender systems and the…
Advisors/Committee Members: Tellier, Isabelle (thesis director), Gallinari, Patrick (thesis director).
Subjects/Keywords: Classification d'opinion; Opinion classification
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share





❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Poirier, D. (2011). Des textes communautaires à la recommandation : From texts to recommendation. (Doctoral Dissertation). Université d'Orléans. Retrieved from http://www.theses.fr/2011ORLE2005
Chicago Manual of Style (16th Edition):
Poirier, Damien. “Des textes communautaires à la recommandation : From texts to recommendation.” 2011. Doctoral Dissertation, Université d'Orléans. Accessed March 07, 2021.
http://www.theses.fr/2011ORLE2005.
MLA Handbook (7th Edition):
Poirier, Damien. “Des textes communautaires à la recommandation : From texts to recommendation.” 2011. Web. 07 Mar 2021.
Vancouver:
Poirier D. Des textes communautaires à la recommandation : From texts to recommendation. [Internet] [Doctoral dissertation]. Université d'Orléans; 2011. [cited 2021 Mar 07].
Available from: http://www.theses.fr/2011ORLE2005.
Council of Science Editors:
Poirier D. Des textes communautaires à la recommandation : From texts to recommendation. [Doctoral Dissertation]. Université d'Orléans; 2011. Available from: http://www.theses.fr/2011ORLE2005

Rhodes University
4.
Deschodt, Christian Michel.
Using four different methods to reach a taxonomic conclusion in dung beetles (Scarabaeinae).
Degree: Faculty of Science, Zoology and Entomology, 2019, Rhodes University
URL: http://hdl.handle.net/10962/67845
► Four different techniques to make taxonomic decisions concerning different species in Scarabaeinae are being investigated. Firstly, I made measurements of the body dimensions which are…
(more)
▼ Four different techniques to make taxonomic decisions concerning different species in Scarabaeinae are being investigated. Firstly, I made measurements of the body dimensions which are plotted on a two dimensional graph. This method is successfully used to erect one new species, Copris crassus Deschodt and Davis, 2015, and to establish the synonymy of Copris bihamatus Balthasar, 1965 with Copris fidius (Olivier, 1789). Thereafter the classical or traditional comparative method is used to propose seven new species Scarabaeolus soutpansbergensis (Deschodt and Davis 2015), Scarabaeolus megaparvulus (Davis and Deschodt 2015), Scarabaeolus niemandi (Deschodt and Davis 2015), Scarabaeolus carniphilus (Davis and Deschodt 2015), Scarabaeolus ermienae (Deschodt and Davis 2015), Scarabaeolus planipennis (Davis and Deschodt 2015) and Scarabaeolus afronitidus (Davis and Deschodt 2015) and formally synonymise Scarabaeolus vansoni (Ferreira, 1958) with Scarabaeolus lucidulus (Boheman, 1860) and Scarabaeolus xavieri (Ferreira, 1968) with Scarabaeolus andreaei (zur Strassen, 1963). Morphometric measurements of external structures of a group of flightless relict beetles in the tribe Canthonini are used to compile a nexus file which is analysed with computer software. The interpretation of these results is used here to support the erection of a new genus Drogo Deschodt, Davis & Scholtz 2016, Lastly I analysed the DNA sequences of specimens from different species belonging to a species complex in the genus Epirinus Reiche, 1841 occurring over a wide geographic range. These sequences are used together with external morphological characters to propose the synonymy of Epirinus hluhluwensis Medina & Scholtz 2005 and Epirinus ngomae Medina & Scholtz 2005 with Epirinus davisi Scholtz & Howden 1987.
Subjects/Keywords: Dung beetles – Classification; Scarabaeidae – Classification
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share





❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Deschodt, C. M. (2019). Using four different methods to reach a taxonomic conclusion in dung beetles (Scarabaeinae). (Thesis). Rhodes University. Retrieved from http://hdl.handle.net/10962/67845
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Deschodt, Christian Michel. “Using four different methods to reach a taxonomic conclusion in dung beetles (Scarabaeinae).” 2019. Thesis, Rhodes University. Accessed March 07, 2021.
http://hdl.handle.net/10962/67845.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Deschodt, Christian Michel. “Using four different methods to reach a taxonomic conclusion in dung beetles (Scarabaeinae).” 2019. Web. 07 Mar 2021.
Vancouver:
Deschodt CM. Using four different methods to reach a taxonomic conclusion in dung beetles (Scarabaeinae). [Internet] [Thesis]. Rhodes University; 2019. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/10962/67845.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Deschodt CM. Using four different methods to reach a taxonomic conclusion in dung beetles (Scarabaeinae). [Thesis]. Rhodes University; 2019. Available from: http://hdl.handle.net/10962/67845
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
5.
Syed ibrahim S P.
Certain investigations on eager and Lazy learning
associative classification;.
Degree: Certain investigations on eager and Lazy learning
associative classification, 2014, Anna University
URL: http://shodhganga.inflibnet.ac.in/handle/10603/26421
► newlineCombining different problem solving methods is a very active research area newlinein data mining Associative classification is a recent and rewarding technique in newlinedata mining…
(more)
▼ newlineCombining different problem solving methods
is a very active research area newlinein data mining Associative
classification is a recent and rewarding technique in newlinedata
mining that applies the methodology of association rule mining into
newlineclassification and achieves higher classification accuracy
It is a known fact that newlineassociative classification typically
yields a large number of rules If all the newlinegenerated class
association rules are used in the classifier then accuracy of the
newlineclassifier may be high but the classification process will
be slow and timeconsuming newlineHence generating high quality
class association rules and constructing newlinethe accurate
classifier are indeed a challenging task newline
reference p141-147.
Advisors/Committee Members: Chandran K R.
Subjects/Keywords: Associative classification
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share





❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
P, S. i. S. (2014). Certain investigations on eager and Lazy learning
associative classification;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/26421
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
P, Syed ibrahim S. “Certain investigations on eager and Lazy learning
associative classification;.” 2014. Thesis, Anna University. Accessed March 07, 2021.
http://shodhganga.inflibnet.ac.in/handle/10603/26421.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
P, Syed ibrahim S. “Certain investigations on eager and Lazy learning
associative classification;.” 2014. Web. 07 Mar 2021.
Vancouver:
P SiS. Certain investigations on eager and Lazy learning
associative classification;. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Mar 07].
Available from: http://shodhganga.inflibnet.ac.in/handle/10603/26421.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
P SiS. Certain investigations on eager and Lazy learning
associative classification;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/26421
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Penn State University
6.
Qin, Chenrong.
MORAL DECISION MAKING UNDER MONETARY CONSIDERATIONS.
Degree: 2019, Penn State University
URL: https://submit-etda.libraries.psu.edu/catalog/16490cxq16
► A moral decision does not always mean rational decision. The moral decision is a choice made based on a person's feeling and what they believe…
(more)
▼ A moral decision does not always mean rational decision. The moral decision is a choice made based on a person's feeling and what they believe is proper behavior. We use monetary choices to explore how group size is correlated with the amount of benefit gained by the
subject compared to the harm that their decision inflicts on others. To test this behavior, we measure how Amazon Mechanical Turk workers make choices in a game similar to the Dictator Game where their decisions affect simulated participants.
Preliminary work shows that people are more likely to accept inflicting costs to the group if they are offered more money or if the group loses less money per person. My thesis explores how people evaluate the morality of gaining money at a cost to others depending on the amount of personal gain, the cost to others, and the number of people affected. Our experiments will also reveal how individuals behave when making decisions about different sized groups.
We conduct a series of experiments using Amazon Mechanical Turk and Qualtrics while each experiment kept one of the independent variables constant. To the data from each experiment, I fit
classification model, multiple logistic regression model and generalized linear mixed model.
Advisors/Committee Members: David T Reitter, Thesis Advisor/Co-Advisor.
Subjects/Keywords: classification; rationality
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share





❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Qin, C. (2019). MORAL DECISION MAKING UNDER MONETARY CONSIDERATIONS. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16490cxq16
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Qin, Chenrong. “MORAL DECISION MAKING UNDER MONETARY CONSIDERATIONS.” 2019. Thesis, Penn State University. Accessed March 07, 2021.
https://submit-etda.libraries.psu.edu/catalog/16490cxq16.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Qin, Chenrong. “MORAL DECISION MAKING UNDER MONETARY CONSIDERATIONS.” 2019. Web. 07 Mar 2021.
Vancouver:
Qin C. MORAL DECISION MAKING UNDER MONETARY CONSIDERATIONS. [Internet] [Thesis]. Penn State University; 2019. [cited 2021 Mar 07].
Available from: https://submit-etda.libraries.psu.edu/catalog/16490cxq16.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Qin C. MORAL DECISION MAKING UNDER MONETARY CONSIDERATIONS. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/16490cxq16
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of North Texas
7.
Bennett, Charles B.
Independence of Mania and Depression across 4 Years in Bipolar Disorder.
Degree: 2019, University of North Texas
URL: https://digital.library.unt.edu/ark:/67531/metadc1505184/
► If mania and depression are part of the same pathological processes, one would predict that episodes of one prospectively increase the odds of episodes of…
(more)
▼ If mania and depression are part of the same pathological processes, one would predict that episodes of one prospectively increase the odds of episodes of the other. The aim of the present study was to test this hypothesis. For comparison purposes, their relationship was contrasted to the relationship between mania and periods of psychosis. Exploratory analyses also tested the degree to which episodes of each occur with greater frequency over time (i.e., kindling). Participants for the present study came from the Suffolk County Mental Health Project (N = 628), a study of first-admission patients with psychosis. Of these participants, 144 met diagnostic criteria for bipolar I disorder and were analyzed for the current study. Results indicated that mania in a given month predicted depression the following month, even after controlling for other symptoms. The reverse, however, was not the case. Mania and psychosis, in contrast, were found to be robust predictors of one another from month to month. Effects were not due to treatment or demographic differences. These findings provide evidence that mania and depression are weakly related. In contrast, mania and psychosis are more closely linked. Findings are consistent with suggestions that psychiatric nosology regroup mania more closely with thought disorders rather than with internalizing or depressive ones. They also alert clinicians to the strong, longitudinal persistence and comorbidity among these syndromes.
Advisors/Committee Members: Ruggero, Camilo, Blumenthal, Heidemarie, Murrell, Amy R..
Subjects/Keywords: bipolar; classification
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share





8.
Guinot, Florent.
Statistical learning for omics association and interaction studies based on blockwise feature compression : Apprentissage statistique pour les études d'association et d'interactions entre données omiques fondée sur une approche de compression structurée.
Degree: Docteur es, Sciences de la vie et de la santé, 2018, Université Paris-Saclay (ComUE)
URL: http://www.theses.fr/2018SACLE029
► Depuis la dernière décennie le développement rapide des technologies de génotypage a profondément modifié la façon dont les gènes impliqués dans les troubles mendéliens et…
(more)
▼ Depuis la dernière décennie le développement rapide des technologies de génotypage a profondément modifié la façon dont les gènes impliqués dans les troubles mendéliens et les maladies complexes sont cartographiés, passant d'approches gènes candidats aux études d'associations pan-génomique, ou Genome-Wide Association Studies (GWASs). Ces études visent à identifier, au sein d'échantillons d'individus non apparentés, des marqueurs génétiques impliqués dans l'expression de maladies complexes. Ces études exploitent le fait qu'il est plus facile d'établir, à partir de la population générale, de grandes cohortes de personnes affectées par une maladie et partageant un facteur de risque génétique qu'au sein d'échantillons apparentés issus d'une même famille, comme c'est le cas dans les études familiales traditionnelles.D'un point de vue statistique, l'approche standard est basée sur le test d'hypothèse: dans un échantillon d'individus non apparentés, des individus malades sont testés contre des individus sains à un ou plusieurs marqueurs. Cependant, à cause de la grande dimension des données, ces procédures de tests classiques sont souvent sujettes à des faux positifs, à savoir des marqueurs faussement identifiés comme étant significatifs. Une solution consiste à appliquer une correction sur les p-valeurs obtenues afin de diminuer le seuil de significativité, augmentant en contrepartie le risque de manquer des associations n’ayant qu'un faible effet sur le phénotype.De plus, bien que cette approche ait réussi à identifier des marqueurs génétiques associés à des maladies multi-factorielles complexes (maladie de Crohn, diabète I et II, maladie coronarienne,…), seule une faible proportion des variations phénotypiques attendues des études familiales classiques a été expliquée. Cette héritabilité manquante peut avoir de multiples causes parmi les suivantes: fortes corrélations entre les variables génétiques, structure de la population, épistasie (interactions entre gènes), maladie associée aux variants rares,...Les principaux objectifs de cette thèse sont de développer de nouvelles méthodes statistiques pouvant répondre à certaines des limitations mentionnées ci-dessus. Plus précisément, nous avons développé deux nouvelles approches: la première exploite la structure de corrélation entre les marqueurs génétiques afin d'améliorer la puissance de détection dans le cadre des tests d'hypothèses tandis que la seconde est adaptée à la détection d'interactions statistiques entre groupes de marqueurs méta-génomiques et génétiques permettant une meilleure compréhension de la relation complexe entre environnement et génome sur l'expression d'un caractère.
Since the last decade, the rapid advances in genotyping technologies have changed the way genes involved in mendelian disorders and complex diseases are mapped, moving from candidate genes approaches to linkage disequilibrium mapping. In this context, Genome-Wide Associations Studies (GWAS) aim at identifying genetic markers implied in the expression of complex disease and occuring at…
Advisors/Committee Members: Ambroise, Christophe (thesis director).
Subjects/Keywords: Classification hiérarchique
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share





❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Guinot, F. (2018). Statistical learning for omics association and interaction studies based on blockwise feature compression : Apprentissage statistique pour les études d'association et d'interactions entre données omiques fondée sur une approche de compression structurée. (Doctoral Dissertation). Université Paris-Saclay (ComUE). Retrieved from http://www.theses.fr/2018SACLE029
Chicago Manual of Style (16th Edition):
Guinot, Florent. “Statistical learning for omics association and interaction studies based on blockwise feature compression : Apprentissage statistique pour les études d'association et d'interactions entre données omiques fondée sur une approche de compression structurée.” 2018. Doctoral Dissertation, Université Paris-Saclay (ComUE). Accessed March 07, 2021.
http://www.theses.fr/2018SACLE029.
MLA Handbook (7th Edition):
Guinot, Florent. “Statistical learning for omics association and interaction studies based on blockwise feature compression : Apprentissage statistique pour les études d'association et d'interactions entre données omiques fondée sur une approche de compression structurée.” 2018. Web. 07 Mar 2021.
Vancouver:
Guinot F. Statistical learning for omics association and interaction studies based on blockwise feature compression : Apprentissage statistique pour les études d'association et d'interactions entre données omiques fondée sur une approche de compression structurée. [Internet] [Doctoral dissertation]. Université Paris-Saclay (ComUE); 2018. [cited 2021 Mar 07].
Available from: http://www.theses.fr/2018SACLE029.
Council of Science Editors:
Guinot F. Statistical learning for omics association and interaction studies based on blockwise feature compression : Apprentissage statistique pour les études d'association et d'interactions entre données omiques fondée sur une approche de compression structurée. [Doctoral Dissertation]. Université Paris-Saclay (ComUE); 2018. Available from: http://www.theses.fr/2018SACLE029
9.
Zhang, Jiani.
RANDOM PROJECTION AND SVD METHODS IN HYPERSPECTRAL IMAGING.
Degree: 2012, Wake Forest University
URL: http://hdl.handle.net/10339/37432
► Hyperspectral imaging provides researchers with abundant information with which to study the characteristics of objects in a scene. Processing the massive hyperspectral imagery datasets in…
(more)
▼ Hyperspectral imaging provides researchers with abundant information with which to study the characteristics of objects in a scene. Processing the massive hyperspectral imagery datasets in a way that efficiently provides useful information becomes an important issue. In this thesis, we consider methods which reduce the dimension of hyperspectral data while retaining as much useful information as possible.
Subjects/Keywords: Classification
…to process
them well. In hyperspectral imaging, classification and target detection are… …purposes of dimension reduction, compression, reconstruction, and
classification with… …addition, it is also related to the processes of classification and unmixing. In this section, we… …classification, we consider the matrix X which is the transpose of A. The
projection Xp is
Xp = VkT X… …unsupervised classification of the hyperspetral image data. With different
user-defined numerical…
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share





❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Zhang, J. (2012). RANDOM PROJECTION AND SVD METHODS IN HYPERSPECTRAL IMAGING. (Thesis). Wake Forest University. Retrieved from http://hdl.handle.net/10339/37432
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Zhang, Jiani. “RANDOM PROJECTION AND SVD METHODS IN HYPERSPECTRAL IMAGING.” 2012. Thesis, Wake Forest University. Accessed March 07, 2021.
http://hdl.handle.net/10339/37432.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Zhang, Jiani. “RANDOM PROJECTION AND SVD METHODS IN HYPERSPECTRAL IMAGING.” 2012. Web. 07 Mar 2021.
Vancouver:
Zhang J. RANDOM PROJECTION AND SVD METHODS IN HYPERSPECTRAL IMAGING. [Internet] [Thesis]. Wake Forest University; 2012. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/10339/37432.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Zhang J. RANDOM PROJECTION AND SVD METHODS IN HYPERSPECTRAL IMAGING. [Thesis]. Wake Forest University; 2012. Available from: http://hdl.handle.net/10339/37432
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Université de Neuchâtel
10.
Kummer, Olena.
Feature weighting approaches in sentiment analysis of short
text.
Degree: 2012, Université de Neuchâtel
URL: http://doc.rero.ch/record/30954
► In this thesis, we propose a supervised classification scheme based on computation of the statistical scores for the textual features. More specifically, we consider binary…
(more)
▼ In this thesis, we propose a supervised
classification
scheme based on computation of the statistical scores for the
textual features. More specifically, we consider binary
classification (opinionated or factual, positive or negative) of
the short text in the domains of movie reviews and newspaper
articles. We analyze the performance of the proposed models on the
corpora with the unequal sizes of the training categories.
Based on our participation in different evaluation
campaigns, we analyze advantages and disadvantages of the
classification schemes that use Z scores for the purpose of
classifying a sentence into more than two categories, e.g.
positive, negative, neutral and factual. As a new feature weighting
measure, we give an adaptation of the calculation of the
Kullback-Leibler divergence score, called KL score. Considering the
performance of different weighting measures on training corpora
with unequal sizes, we chose two best performing scores, Z score
and KL score. Thus, we propose a new
classification model based on
the calculation of normalized Z score and KL score for the features
per each
classification category. One of the advantages of this
model is its flexibility to incorporate external scores, for
example, from sentiment dictionaries. The experiments on
datasets in Chinese and Japanese show a comparable level of
performance of the proposed scheme with the results obtained on the
English datasets without any use of natural language specific
techniques. The advantage of the approaches analyzed in this thesis
is that they can work as quick and easily interpretable baselines
for short text
classification.
Advisors/Committee Members: Jacques (Dir.).
Subjects/Keywords: Text Classification
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share





❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Kummer, O. (2012). Feature weighting approaches in sentiment analysis of short
text. (Thesis). Université de Neuchâtel. Retrieved from http://doc.rero.ch/record/30954
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Kummer, Olena. “Feature weighting approaches in sentiment analysis of short
text.” 2012. Thesis, Université de Neuchâtel. Accessed March 07, 2021.
http://doc.rero.ch/record/30954.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Kummer, Olena. “Feature weighting approaches in sentiment analysis of short
text.” 2012. Web. 07 Mar 2021.
Vancouver:
Kummer O. Feature weighting approaches in sentiment analysis of short
text. [Internet] [Thesis]. Université de Neuchâtel; 2012. [cited 2021 Mar 07].
Available from: http://doc.rero.ch/record/30954.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Kummer O. Feature weighting approaches in sentiment analysis of short
text. [Thesis]. Université de Neuchâtel; 2012. Available from: http://doc.rero.ch/record/30954
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Universidad de Cantabria
11.
Nieto Reyes, Alicia.
Aplicaciones estadísticas de las proyecciones aleatorias: Statistical applications of random projections.
Degree: 2010, Universidad de Cantabria
URL: http://hdl.handle.net/10902/1548
► RESUMEN: Dado un conjunto de datos, o una distribución, en un espacio de dimensión mayor a uno, las proyecciones aleatorias consisten en proyectar los datos,…
(more)
▼ RESUMEN: Dado un conjunto de datos, o una distribución, en un espacio de dimensión mayor a uno, las proyecciones aleatorias consisten en proyectar los datos, o calcular la marginal de la distribución, en un subespacio de menor dimensión que ha sido elegido de forma aleatoria. En nuestro caso de dimensión uno.
En esta tesis presentamos dos aplicaciones de las proyecciones aleatorias. La primera es una definición de profundidad, que es computacionalmente efectiva, aproxima a la conocida profundidad de Tukey y es válida tanto en espacios multidimensionales como funcionales. La segunda es un test de Gaussianidad para procesos estrictamente estacionarios, que rechaza procesos no Gaussianos con marginal unidimensional Gaussiana.
Advisors/Committee Members: Cuesta Albertos, Juan Antonio (advisor), Universidad de Cantabria (other).
Subjects/Keywords: Classification
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share





❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Nieto Reyes, A. (2010). Aplicaciones estadísticas de las proyecciones aleatorias: Statistical applications of random projections. (Doctoral Dissertation). Universidad de Cantabria. Retrieved from http://hdl.handle.net/10902/1548
Chicago Manual of Style (16th Edition):
Nieto Reyes, Alicia. “Aplicaciones estadísticas de las proyecciones aleatorias: Statistical applications of random projections.” 2010. Doctoral Dissertation, Universidad de Cantabria. Accessed March 07, 2021.
http://hdl.handle.net/10902/1548.
MLA Handbook (7th Edition):
Nieto Reyes, Alicia. “Aplicaciones estadísticas de las proyecciones aleatorias: Statistical applications of random projections.” 2010. Web. 07 Mar 2021.
Vancouver:
Nieto Reyes A. Aplicaciones estadísticas de las proyecciones aleatorias: Statistical applications of random projections. [Internet] [Doctoral dissertation]. Universidad de Cantabria; 2010. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/10902/1548.
Council of Science Editors:
Nieto Reyes A. Aplicaciones estadísticas de las proyecciones aleatorias: Statistical applications of random projections. [Doctoral Dissertation]. Universidad de Cantabria; 2010. Available from: http://hdl.handle.net/10902/1548

Montana State University
12.
Hart, Charles Jay.
A revision of the genus Diastolinus mulsant and rey (Coleoptera: Tenebrionidae) of the West Indies.
Degree: MS, College of Agriculture, 2016, Montana State University
URL: https://scholarworks.montana.edu/xmlui/handle/1/13789
► The West Indian genus Diastolinus Mulsant and Rey, 1859 is revised and its species redescribed (type species: Diastolinus clathratus (F.)). The genus now includes 18…
(more)
▼ The West Indian genus Diastolinus Mulsant and Rey, 1859 is revised and its species redescribed (type species: Diastolinus clathratus (F.)). The genus now includes 18 species divided among three species-groups, eight of which are described as new species herein: Diastolinus chalumeaui Hart and Ivie, new species; Diastolinus leewardensis Hart and Ivie, new species; Diastolinus shieli Hart and Ivie, new species; Diastolinus azuaensis Hart and Ivie, new species; Diastolinus desecheo Hart and Ivie, new species; Diastolinus doyeni Hart and Ivie, new species; Diastolinus vaderi Hart and Ivie, new species; and Diastolinus hoppae Hart and Ivie, new species. The following nomenclatural changes are proposed: Diastolinus hummelincki Marcuzzi, 1962 (= Diastolinus clavatus Mulsant and Rey, 1859, new synonymy), Diastolinus mulsanti Marcuzzi and D'Aguilar, 1971 (= Diastolinus clavatus Mulsant and Rey, 1859, new synonymy), and Diastolinus estebani Garrido, 2004a (= Diastolinus coarctatus (Mulsant and Rey, 1859), new synonymy). A lectotype and paralectotypes are designated for Diastolinus hummelincki Marcuzzi, Ctesicles insularis Champion and Ctesicles maritimus Champion. The keys, descriptions, and distribution maps demonstrate that all 18 species are readily distinguished by both morphological and biogeographical attributes even though they are mostly ecologically confined to seasonally dry woodlands and forests.
Advisors/Committee Members: Chairperson, Graduate Committee: Michael A. Ivie (advisor), Michael A. Ivie was a co-author of the article, 'A revision of the genus Diastolinus mulsant and rey (Coleoptera: tenebrionidae) of the West Indies' submitted to the journal 'The coleopterists bulletin' which is contained within this thesis. (other).
Subjects/Keywords: Beetles.; Classification.
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share





❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Hart, C. J. (2016). A revision of the genus Diastolinus mulsant and rey (Coleoptera: Tenebrionidae) of the West Indies. (Masters Thesis). Montana State University. Retrieved from https://scholarworks.montana.edu/xmlui/handle/1/13789
Chicago Manual of Style (16th Edition):
Hart, Charles Jay. “A revision of the genus Diastolinus mulsant and rey (Coleoptera: Tenebrionidae) of the West Indies.” 2016. Masters Thesis, Montana State University. Accessed March 07, 2021.
https://scholarworks.montana.edu/xmlui/handle/1/13789.
MLA Handbook (7th Edition):
Hart, Charles Jay. “A revision of the genus Diastolinus mulsant and rey (Coleoptera: Tenebrionidae) of the West Indies.” 2016. Web. 07 Mar 2021.
Vancouver:
Hart CJ. A revision of the genus Diastolinus mulsant and rey (Coleoptera: Tenebrionidae) of the West Indies. [Internet] [Masters thesis]. Montana State University; 2016. [cited 2021 Mar 07].
Available from: https://scholarworks.montana.edu/xmlui/handle/1/13789.
Council of Science Editors:
Hart CJ. A revision of the genus Diastolinus mulsant and rey (Coleoptera: Tenebrionidae) of the West Indies. [Masters Thesis]. Montana State University; 2016. Available from: https://scholarworks.montana.edu/xmlui/handle/1/13789
13.
Dehman, Alia.
Spatial clustering of linkage disequilibrium blocks for genome-wide association studies : Classification spatiale du déséquilibre de liaison pour les études d'association pangénomique.
Degree: Docteur es, Sciences de la vie et de la santé, 2015, Université Paris-Saclay (ComUE)
URL: http://www.theses.fr/2015SACLE013
► Avec le développement récent des technologies de génotypage à haut débit, l'utilisation des études d'association pangénomiques (GWAS) est devenue très répandue dans la recherche génétique.…
(more)
▼ Avec le développement récent des technologies de génotypage à haut débit, l'utilisation des études d'association pangénomiques (GWAS) est devenue très répandue dans la recherche génétique. Au moyen de criblage de grandes parties du génome, ces études visent à caractériser les facteurs génétiques impliqués dans le développement de maladies génétiques complexes. Les GWAS sont également basées sur l'existence de dépendances statistiques, appelées déséquilibre de liaison (DL), habituellement observées entre des loci qui sont proches dans l'ADN. Le DL est défini comme l'association non aléatoire d'allèles à des loci différents sur le même chromosome ou sur des chromosomes différents dans une population. Cette caractéristique biologique est d'une importance fondamentale dans les études d'association car elle permet la localisation précise des mutations causales en utilisant les marqueurs génétiques adjacents. Néanmoins, la structure de blocs complexe induite par le DL ainsi que le grand volume de données génétiques constituent les principaux enjeux soulevés par les études GWAS. Les contributions présentées dans ce manuscrit comportent un double aspect, à la fois méthodologique et algorithmique. Sur le plan méthodologie, nous proposons une approche en trois étapes qui tire profit de la structure de groupes induite par le DL afin d'identifier des variants communs qui pourraient avoir été manquées par l'analyse simple marqueur. Dans une première étape, nous effectuons une classification hiérarchique des SNPs avec une contrainte d'adjacence et en utilisant le DL comme mesure de similarité. Dans une seconde étape, nous appliquons une approche de sélection de modèle à la hiérarchie obtenue afin de définir des blocs de DL. Enfin, nous appliquons le modèle de régression Group Lasso sur les blocs de DL inférés. L'efficacité de l'approche proposée est comparée à celle des approches de régression standards sur des données simulées, semi-simulées et réelles de GWAS. Sur le plan algorithmique, nous nous concentrons sur l'algorithme de classification hiérarchique avec contrainte spatiale dont la complexité quadratique en temps n'est pas adaptée à la grande dimension des données GWAS. Ainsi, nous présentons, dans ce manuscrit, une mise en œuvre efficace d'un tel algorithme dans le contexte général de n'importe quelle mesure de similarité. En introduisant un paramètre h défini par l'utilisateur et en utilisant la structure de tas-min, nous obtenons une complexité sous-quadratique en temps de l'algorithme de classification hiérarchie avec contrainte d'adjacence, ainsi qu'une complexité linéaire en mémoire en le nombre d'éléments à classer. L'intérêt de ce nouvel algorithme est illustré dans des applications GWAS.
With recent development of high-throughput genotyping technologies, the usage of Genome-Wide Association Studies (GWAS) has become widespread in genetic research. By screening large portions of the genome, these studies aim to characterize genetic factors involved in the development of complex genetic diseases. GWAS are also…
Advisors/Committee Members: Ambroise, Christophe (thesis director), Neuvial, Pierre (thesis director).
Subjects/Keywords: Classification hiérarchique
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share





❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Dehman, A. (2015). Spatial clustering of linkage disequilibrium blocks for genome-wide association studies : Classification spatiale du déséquilibre de liaison pour les études d'association pangénomique. (Doctoral Dissertation). Université Paris-Saclay (ComUE). Retrieved from http://www.theses.fr/2015SACLE013
Chicago Manual of Style (16th Edition):
Dehman, Alia. “Spatial clustering of linkage disequilibrium blocks for genome-wide association studies : Classification spatiale du déséquilibre de liaison pour les études d'association pangénomique.” 2015. Doctoral Dissertation, Université Paris-Saclay (ComUE). Accessed March 07, 2021.
http://www.theses.fr/2015SACLE013.
MLA Handbook (7th Edition):
Dehman, Alia. “Spatial clustering of linkage disequilibrium blocks for genome-wide association studies : Classification spatiale du déséquilibre de liaison pour les études d'association pangénomique.” 2015. Web. 07 Mar 2021.
Vancouver:
Dehman A. Spatial clustering of linkage disequilibrium blocks for genome-wide association studies : Classification spatiale du déséquilibre de liaison pour les études d'association pangénomique. [Internet] [Doctoral dissertation]. Université Paris-Saclay (ComUE); 2015. [cited 2021 Mar 07].
Available from: http://www.theses.fr/2015SACLE013.
Council of Science Editors:
Dehman A. Spatial clustering of linkage disequilibrium blocks for genome-wide association studies : Classification spatiale du déséquilibre de liaison pour les études d'association pangénomique. [Doctoral Dissertation]. Université Paris-Saclay (ComUE); 2015. Available from: http://www.theses.fr/2015SACLE013

University of Waterloo
14.
DiFebo, Antonio.
On developing an unambiguous peatland classification using fusion of IKONOS and LiDAR DEM terrain derivatives – Victor Project, James Bay Lowlands.
Degree: 2011, University of Waterloo
URL: http://hdl.handle.net/10012/5962
► Bogs and fens, which comprise > 90% of the landscape near the De Beers Victor diamond mine, 90 km west of Attawapiskat, ON, provide different…
(more)
▼ Bogs and fens, which comprise > 90% of the landscape near the De Beers Victor diamond mine, 90 km west of Attawapiskat, ON, provide different hydrological functions in connecting water flow pathways to the regional drainage network. It is essential to define their distribution, area and arrangement to understand the impact of mine dewatering, which is expected to increase groundwater recharge. Classification was achieved by developing a technique that uses IKONOS satellite imagery coupled with LiDAR-derived DEM derivatives to identify peatland classes. A supervised maximum likelihood classification was performed on the 1 m resolution IKONOS Red/Green/Blue without the infrared (RGB) and with the infrared (IR_RGB) band to determine the overall accuracy prior to inclusion of the DEM derivatives. Confusion matrices indicated 62.9% and 65.8% overall accuracy for the RGB and IR_RGB, respectively. Terrain derivatives were computed from the DEM including slope, vertical distance to channel network (VDCN), deviation from mean elevation (DME), percentile (PER) and difference from mean elevation (DiME). These derivatives were computed at a local (15-cell grid size) and meso (250-cell grid size) scale to capture terrain morphology. The mesoscale 250-cell grid analysis produced the most accurate classifications for all derivatives. However, spectral confusion still occurred (regardless of scale) most frequently in the Fen Dense Conifer vs. Bog Dense Conifer classes and also in the Bog Lichen vs. Bog Lichen Conifer. Despite this confusion, by combining the larger scale LiDAR DEM derivatives and the IKONOS imagery it was found that the overall classification accuracy could be improved by 13%. Specifically, the DiME derivative combined with the multispectral IKONOS (IR_RGB) produced an overall accuracy of 76.5%, and increased to 83.7% when Bog Lichen and Bog Lichen Conifer were combined during a post hoc analysis. This classification revealed the landscape composition of the North Granny Creek subwatershed, which is divided into north and south. The north portion comprises 67.4% bog, 13.6% fen and 18.9% water class, while the south is 63.7% bog, 15.2% fen and 21.1% water class. These proportions provide insight into the hydrology of the landscape and are indicative of the storage and conveyance properties of the subwatershed based on the percentage of bog, fen, or open water.
Subjects/Keywords: Peatland Classification
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share





❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
DiFebo, A. (2011). On developing an unambiguous peatland classification using fusion of IKONOS and LiDAR DEM terrain derivatives – Victor Project, James Bay Lowlands. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/5962
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
DiFebo, Antonio. “On developing an unambiguous peatland classification using fusion of IKONOS and LiDAR DEM terrain derivatives – Victor Project, James Bay Lowlands.” 2011. Thesis, University of Waterloo. Accessed March 07, 2021.
http://hdl.handle.net/10012/5962.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
DiFebo, Antonio. “On developing an unambiguous peatland classification using fusion of IKONOS and LiDAR DEM terrain derivatives – Victor Project, James Bay Lowlands.” 2011. Web. 07 Mar 2021.
Vancouver:
DiFebo A. On developing an unambiguous peatland classification using fusion of IKONOS and LiDAR DEM terrain derivatives – Victor Project, James Bay Lowlands. [Internet] [Thesis]. University of Waterloo; 2011. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/10012/5962.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
DiFebo A. On developing an unambiguous peatland classification using fusion of IKONOS and LiDAR DEM terrain derivatives – Victor Project, James Bay Lowlands. [Thesis]. University of Waterloo; 2011. Available from: http://hdl.handle.net/10012/5962
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Aberystwyth University
15.
Espley, Richard George.
'The times are wrong': Paul Otlet, modernist anachronism or prophetic knowledge architect of the postmodern?.
Degree: Information Studies, 2011, Aberystwyth University
URL: http://hdl.handle.net/2160/7731
Subjects/Keywords: Classification
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share





❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Espley, R. G. (2011). 'The times are wrong': Paul Otlet, modernist anachronism or prophetic knowledge architect of the postmodern?. (Thesis). Aberystwyth University. Retrieved from http://hdl.handle.net/2160/7731
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Espley, Richard George. “'The times are wrong': Paul Otlet, modernist anachronism or prophetic knowledge architect of the postmodern?.” 2011. Thesis, Aberystwyth University. Accessed March 07, 2021.
http://hdl.handle.net/2160/7731.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Espley, Richard George. “'The times are wrong': Paul Otlet, modernist anachronism or prophetic knowledge architect of the postmodern?.” 2011. Web. 07 Mar 2021.
Vancouver:
Espley RG. 'The times are wrong': Paul Otlet, modernist anachronism or prophetic knowledge architect of the postmodern?. [Internet] [Thesis]. Aberystwyth University; 2011. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/2160/7731.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Espley RG. 'The times are wrong': Paul Otlet, modernist anachronism or prophetic knowledge architect of the postmodern?. [Thesis]. Aberystwyth University; 2011. Available from: http://hdl.handle.net/2160/7731
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
16.
Bouillot, Flavien.
Classification de textes : de nouvelles pondérations adaptées aux petits volumes : Text Classification : new weights suitable for small dataset.
Degree: Docteur es, Informatique, 2015, Montpellier
URL: http://www.theses.fr/2015MONTS167
► Au quotidien, le réflexe de classifier est omniprésent et inconscient. Par exemple dans le processus de prise de décision où face à un élément (un…
(more)
▼ Au quotidien, le réflexe de classifier est omniprésent et inconscient. Par exemple dans le processus de prise de décision où face à un élément (un objet, un événement, une personne) nous allons instinctivement chercher à rapprocher cet élément d'autres similaires afin d'adapter nos choix et nos comportements. Ce rangement dans telle ou telle catégorie repose sur les expériences passées et les caractéristiques de l'élément. Plus les expériences seront nombreuses et les caractéristiques détaillées, plus fine et pertinente sera la décision. Il en est de même lorsqu'il nous faut catégoriser un document en fonction de son contenu. Par exemple détecter s'il s'agit d'un conte pour enfants ou d'un traité de philosophie. Ce traitement est bien sûr d'autant plus efficace si nous possédons un grand nombre d'ouvrages de ces deux catégories et que l'ouvrage à classifier possède un nombre important de mots.Dans ce manuscrit nous nous intéressons à la problématique de la prise de décision lorsque justement nous disposons de peu de documents d'apprentissage et que le document possède un nombre de mots limité. Nous proposons pour cela une nouvelle approche qui repose sur de nouvelles pondérations. Elle nous permet de déterminer avec précision l'importance à accorder aux mots composant le document.Afin d'optimiser les traitements, nous proposons une approche paramétrable. Cinq paramètres rendent notre approche adaptable, quel que soit le problème de classification donné. De très nombreuses expérimentations ont été menées sur différents types de documents, dans différentes langues et dans différentes configurations. Selon les corpus, elles mettent en évidence que notre proposition nous permet d'obtenir des résultats supérieurs en comparaison avec les meilleures approches de la littérature pour traiter les problématiques de petits volumes.L'utilisation de paramètres introduit bien sur une complexité supplémentaire puisqu'il faut alors déterminer les valeurs optimales. Détecter les meilleurs paramètres et les meilleurs algorithmes est une tâche compliquée dont la difficulté est théorisée au travers du théorème du No-Free-Lunch. Nous traitons cette seconde problématique en proposant une nouvelle approche de méta-classification reposant sur les notions de distances et de similarités sémantiques. Plus précisément nous proposons de nouveaux méta-descripteurs adaptés dans un contexte de classification de documents. Cette approche originale nous permet d'obtenir des résultats similaires aux meilleures approches de la littérature tout en offrant des qualités supplémentaires.Pour conclure, les travaux présentés dans ce manuscrit ont fait l'objet de diverses implémentations techniques, une dans le logiciel Weka, une dans un prototype industriel et enfin une troisième dans le logiciel de la société ayant financé ces travaux.
Every day, classification is omnipresent and unconscious. For example in the process of decision when faced with something (an object, an event, a person), we will instinctively think of similar elements in order to adapt…
Advisors/Committee Members: Poncelet, Pascal (thesis director), Roche, Mathieu (thesis director).
Subjects/Keywords: Classification textuelle; Petits volume de données; Méta-Classification; Text classification; Few data classification; Meta-Classification
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share





❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Bouillot, F. (2015). Classification de textes : de nouvelles pondérations adaptées aux petits volumes : Text Classification : new weights suitable for small dataset. (Doctoral Dissertation). Montpellier. Retrieved from http://www.theses.fr/2015MONTS167
Chicago Manual of Style (16th Edition):
Bouillot, Flavien. “Classification de textes : de nouvelles pondérations adaptées aux petits volumes : Text Classification : new weights suitable for small dataset.” 2015. Doctoral Dissertation, Montpellier. Accessed March 07, 2021.
http://www.theses.fr/2015MONTS167.
MLA Handbook (7th Edition):
Bouillot, Flavien. “Classification de textes : de nouvelles pondérations adaptées aux petits volumes : Text Classification : new weights suitable for small dataset.” 2015. Web. 07 Mar 2021.
Vancouver:
Bouillot F. Classification de textes : de nouvelles pondérations adaptées aux petits volumes : Text Classification : new weights suitable for small dataset. [Internet] [Doctoral dissertation]. Montpellier; 2015. [cited 2021 Mar 07].
Available from: http://www.theses.fr/2015MONTS167.
Council of Science Editors:
Bouillot F. Classification de textes : de nouvelles pondérations adaptées aux petits volumes : Text Classification : new weights suitable for small dataset. [Doctoral Dissertation]. Montpellier; 2015. Available from: http://www.theses.fr/2015MONTS167

Delft University of Technology
17.
van der Valk, Dirk (author).
Remote Sensing of Japanese WWII airstrips in the Papua Province Republic of Indonesia: Classification of the area surrounding three WWII airstrips (Mongosah, Otawiri and Sagan).
Degree: 2017, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:e19a6102-9c06-40e0-a13a-16f7138fbeac
► In the Second World War Dutch New Guinea was a strategic battle front for both the Japanese and the Allied forces in the Pacific War.…
(more)
▼ In the Second World War Dutch New Guinea was a strategic battle front for both the Japanese and the Allied forces in the Pacific War. A lot of airstrips were constructed and bombed during this time, of which at least three (Mongosah, Otowari and Sagan) have never been visited after the war. This provided a great opportunity to find potential war heritage and airstrip equipment. Later this year an additional research team will go on an in-situ exploration to potentially find those objects. To do so, they needed a
classification map giving information on the type and location of the vegetation. This map helps to know where to land with a helicopter, to setup base camp, to find travel ways, etc. Thus, the main objective of this thesis is to check whether it is possible to create a proper
classification image with the available data. I used data obtained from the Sentinel 2 Mission (Optical data), the ALOS PALSAR Mission (L-Band Radar data) and the SRTM Mission (Digital elevation data). I pre-processed the data and used the supervised
classification method, “Maximum Likelihood Classification” (MLC). I masked clouds via three different cloud masking methods, MLC Method, Threshold Method and Sen2cor (scene
classification) Method. I compared the three different methods with each other and there is no significant difference between them. The classifications have been cross-validated with a reference validation dataset and the classified pixels are on average about 90% correctly classified.
Advisors/Committee Members: Lindenbergh, Roderik (mentor), Hanssen, Ramon (mentor), Delft University of Technology (degree granting institution).
Subjects/Keywords: Remote Sensing; Most likelyhood classification; Classification
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share





❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
van der Valk, D. (. (2017). Remote Sensing of Japanese WWII airstrips in the Papua Province Republic of Indonesia: Classification of the area surrounding three WWII airstrips (Mongosah, Otawiri and Sagan). (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:e19a6102-9c06-40e0-a13a-16f7138fbeac
Chicago Manual of Style (16th Edition):
van der Valk, Dirk (author). “Remote Sensing of Japanese WWII airstrips in the Papua Province Republic of Indonesia: Classification of the area surrounding three WWII airstrips (Mongosah, Otawiri and Sagan).” 2017. Masters Thesis, Delft University of Technology. Accessed March 07, 2021.
http://resolver.tudelft.nl/uuid:e19a6102-9c06-40e0-a13a-16f7138fbeac.
MLA Handbook (7th Edition):
van der Valk, Dirk (author). “Remote Sensing of Japanese WWII airstrips in the Papua Province Republic of Indonesia: Classification of the area surrounding three WWII airstrips (Mongosah, Otawiri and Sagan).” 2017. Web. 07 Mar 2021.
Vancouver:
van der Valk D(. Remote Sensing of Japanese WWII airstrips in the Papua Province Republic of Indonesia: Classification of the area surrounding three WWII airstrips (Mongosah, Otawiri and Sagan). [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Mar 07].
Available from: http://resolver.tudelft.nl/uuid:e19a6102-9c06-40e0-a13a-16f7138fbeac.
Council of Science Editors:
van der Valk D(. Remote Sensing of Japanese WWII airstrips in the Papua Province Republic of Indonesia: Classification of the area surrounding three WWII airstrips (Mongosah, Otawiri and Sagan). [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:e19a6102-9c06-40e0-a13a-16f7138fbeac

East Carolina University
18.
Brewer, Michael Scott.
HIGHER-LEVEL SYSTEMATICS OF THE MILLIPEDES (ARTHROPODA:
MYRIAPODA: DIPLOPODA) EVALUATED USING TRANSCRIPTOMIC DATA
MITOCHONDRIAL GENOMICS AND CLASSIFICATION ANALYSES.
Degree: 2012, East Carolina University
URL: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=14168
► Knowledge of deep level phylogenetic relationships within and between many animal groups is currently lacking. Past attempts to reconstruct these ancient evolutionary relationships once relied…
(more)
▼ Knowledge of deep level phylogenetic relationships
within and between many animal groups is currently lacking. Past
attempts to reconstruct these ancient evolutionary relationships
once relied chiefly on morphological characters and consequently
suffered from deficiencies inherent to these data (homoplasy few
diagnostic characters etc.). Advances in molecular biology over the
last 20 years (namely PCR and high-throughput sequencing) have
provided a whole other facet of potential characters via a vast
array of loci both nuclear and mitochondrial which represent
unlinked regions spanning entire genomes. The class Diplopoda (the
millipedes) is a diverse group 12 000 described species which has
suffered a long and convoluted taxonomic and systematic history.
Containing many overinflated groups (numerous monotypic taxa) while
other groups are vastly understudied the current scheme of
classification does not reflect the evolutionary history of the
group but instead exists primarily for identification purposes. A
classification constructed in such a manner can be characterized as
an "unnatural
classification". This work represents an attempt to:
1) ascertain the uniformity of millipede taxa at the ordinal level
by evaluating species diversity contained in higher taxa (orders
families genera); 2) achieve a robust and empirically derived
estimate of millipede global diversity; 3) reconstruct the
higher level relationships among all major millipede taxa using
genomic scale molecular data; 4) map the ancestral states of key
millipede characteristics; and 5) date the divergences of major
diplopod lineages. Full mitochondrial genomes and transcriptomic
data obtained via second-generation sequencing for exemplar taxa
representing the ordinal taxa were used to reconstruct the
relationships between the higher millipede taxa. Our work uncovered
interesting and potentially alarming trends in millipede taxonomy.
Additionally we demonstrated the utility or lack thereof of using
mitochondrial sequence data to reconstruct deep evolutionary
relationships. Transcriptomic data analyses yielded well- supported
trees containing relationships that have not been suggested
previously. The transcriptome-based phylogeny was used to
reconstruct the evolutionary changes of key millipede
characteristics and consequently to assess their utility in
delineating millipede taxa. This information provides a basis for
future work within the Diplopoda including but not limited to:
character evolution biogeography divergence time estimations and
comparative genomics. ; Systematic biology, Entomology,
Genetics, Diplopoda, Genomics, Mitochondria, Next-generation
sequencing, Phylogenetics, Transcriptome
Advisors/Committee Members: Jason E. Bond (advisor).
Subjects/Keywords: Millipedes – Classification; Cladistic analysis; Animals – Classification
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share





❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Brewer, M. S. (2012). HIGHER-LEVEL SYSTEMATICS OF THE MILLIPEDES (ARTHROPODA:
MYRIAPODA: DIPLOPODA) EVALUATED USING TRANSCRIPTOMIC DATA
MITOCHONDRIAL GENOMICS AND CLASSIFICATION ANALYSES. (Doctoral Dissertation). East Carolina University. Retrieved from http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=14168
Chicago Manual of Style (16th Edition):
Brewer, Michael Scott. “HIGHER-LEVEL SYSTEMATICS OF THE MILLIPEDES (ARTHROPODA:
MYRIAPODA: DIPLOPODA) EVALUATED USING TRANSCRIPTOMIC DATA
MITOCHONDRIAL GENOMICS AND CLASSIFICATION ANALYSES.” 2012. Doctoral Dissertation, East Carolina University. Accessed March 07, 2021.
http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=14168.
MLA Handbook (7th Edition):
Brewer, Michael Scott. “HIGHER-LEVEL SYSTEMATICS OF THE MILLIPEDES (ARTHROPODA:
MYRIAPODA: DIPLOPODA) EVALUATED USING TRANSCRIPTOMIC DATA
MITOCHONDRIAL GENOMICS AND CLASSIFICATION ANALYSES.” 2012. Web. 07 Mar 2021.
Vancouver:
Brewer MS. HIGHER-LEVEL SYSTEMATICS OF THE MILLIPEDES (ARTHROPODA:
MYRIAPODA: DIPLOPODA) EVALUATED USING TRANSCRIPTOMIC DATA
MITOCHONDRIAL GENOMICS AND CLASSIFICATION ANALYSES. [Internet] [Doctoral dissertation]. East Carolina University; 2012. [cited 2021 Mar 07].
Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=14168.
Council of Science Editors:
Brewer MS. HIGHER-LEVEL SYSTEMATICS OF THE MILLIPEDES (ARTHROPODA:
MYRIAPODA: DIPLOPODA) EVALUATED USING TRANSCRIPTOMIC DATA
MITOCHONDRIAL GENOMICS AND CLASSIFICATION ANALYSES. [Doctoral Dissertation]. East Carolina University; 2012. Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=14168
19.
Chzhen, Evgenii.
Plug-in methods in classification : Méthodes de type plug-in en classification.
Degree: Docteur es, Mathématiques, 2019, Université Paris-Est
URL: http://www.theses.fr/2019PESC2027
► Ce manuscrit étudie plusieurs problèmes de classification sous contraintes. Dans ce cadre de classification, notre objectif est de construire un algorithme qui a des performances…
(more)
▼ Ce manuscrit étudie plusieurs problèmes de classification sous contraintes. Dans ce cadre de classification, notre objectif est de construire un algorithme qui a des performances aussi bonnes que la meilleure règle de classification ayant une propriété souhaitée. Fait intéressant, les méthodes de classification de type plug-in sont bien appropriées à cet effet. De plus, il est montré que, dans plusieurs configurations, ces règles de classification peuvent exploiter des données non étiquetées, c'est-à-dire qu'elles sont construites de manière semi-supervisée. Le Chapitre 1 décrit deux cas particuliers de la classification binaire - la classification où la mesure de performance est reliée au F-score, et la classification équitable. A ces deux problèmes, des procédures semi-supervisées sont proposées. En particulier, dans le cas du F-score, il s'avère que cette méthode est optimale au sens minimax sur une classe usuelle de distributions non-paramétriques. Aussi, dans le cas de la classification équitable, la méthode proposée est consistante en terme de risque de classification, tout en satisfaisant asymptotiquement la contrainte d’égalité des chances. De plus, la procédure proposée dans ce cadre d'étude surpasse en pratique les algorithmes de pointe. Le Chapitre 3 décrit le cadre de la classification multi-classes par le biais d'ensembles de confiance. Là encore, une procédure semi-supervisée est proposée et son optimalité presque minimax est établie. Il est en outre établi qu'aucun algorithme supervisé ne peut atteindre une vitesse de convergence dite rapide. Le Chapitre 4 décrit un cas de classification multi-labels dans lequel on cherche à minimiser le taux de faux-négatifs sous réserve de contraintes de type presque sûres sur les règles de classification. Dans cette partie, deux contraintes spécifiques sont prises en compte: les classifieurs parcimonieux et ceux soumis à un contrôle des erreurs négatives à tort. Pour les premiers, un algorithme supervisé est fourni et il est montré que cet algorithme peut atteindre une vitesse de convergence rapide. Enfin, pour la seconde famille, il est montré que des hypothèses supplémentaires sont nécessaires pour obtenir des garanties théoriques sur le risque de classification
This manuscript studies several problems of constrained classification. In this frameworks of classification our goal is to construct an algorithm which performs as good as the best classifier that obeys some desired property. Plug-in type classifiers are well suited to achieve this goal. Interestingly, it is shown that in several setups these classifiers can leverage unlabeled data, that is, they are constructed in a semi-supervised manner.Chapter 2 describes two particular settings of binary classification – classification with F-score and classification of equal opportunity. For both problems semi-supervised procedures are proposed and their theoretical properties are established. In the case of the F-score, the proposed procedure is shown to be optimal in minimax sense over a standard…
Advisors/Committee Members: Merlevède, Florence (thesis director), Salmon, Joseph (thesis director).
Subjects/Keywords: Classification contrainte; Classification supervisée; Classification semi-Supervisée; Analyse minimax; Classification par plug-In; Ensembles de confiance; Constrained classification; Supervised classification; Semi-Supervised classification; Minimax analysis; Plug-In classification; Confidence sets
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share





❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Chzhen, E. (2019). Plug-in methods in classification : Méthodes de type plug-in en classification. (Doctoral Dissertation). Université Paris-Est. Retrieved from http://www.theses.fr/2019PESC2027
Chicago Manual of Style (16th Edition):
Chzhen, Evgenii. “Plug-in methods in classification : Méthodes de type plug-in en classification.” 2019. Doctoral Dissertation, Université Paris-Est. Accessed March 07, 2021.
http://www.theses.fr/2019PESC2027.
MLA Handbook (7th Edition):
Chzhen, Evgenii. “Plug-in methods in classification : Méthodes de type plug-in en classification.” 2019. Web. 07 Mar 2021.
Vancouver:
Chzhen E. Plug-in methods in classification : Méthodes de type plug-in en classification. [Internet] [Doctoral dissertation]. Université Paris-Est; 2019. [cited 2021 Mar 07].
Available from: http://www.theses.fr/2019PESC2027.
Council of Science Editors:
Chzhen E. Plug-in methods in classification : Méthodes de type plug-in en classification. [Doctoral Dissertation]. Université Paris-Est; 2019. Available from: http://www.theses.fr/2019PESC2027

University of Melbourne
20.
Burford, Clinton.
Collective document classification using explicit and implicit inter-document relationships.
Degree: 2013, University of Melbourne
URL: http://hdl.handle.net/11343/38110
► Information systems are transforming the ways in which people generate, store and share information. One consequence of this change is a massive increase in the…
(more)
▼ Information systems are transforming the ways in which people generate, store and share information. One consequence of this change is a massive increase in the quantity of digital content the average person needs to deal with. A large part of the information systems challenge is about finding intelligent ways to help users locate and analyse this information. One tool that is available to build systems to address this challenge is automatic document classification.
A document classifier is a statistical model for predicting a label for an input document that is represented as a set of features. The potential usefulness of such a generalised system for categorising documents based on their contents is very great. There are direct applications for systems that can answer complex document categorisation questions like: Is this product review generally positive or negative? Document classification systems can also become critical parts of most complex systems that need input documents to be selected based on complex criteria.
This thesis addresses the question of how document classifiers can exploit information about the relationships between documents being classified. Normally, document classifiers work on a single document at a time: once the classifier has been trained from a set of labelled examples, it can then be used to label single input documents as required. Collective document classifiers learn a classifier that can be applied to a group of related documents. The inter-document relationships in the group are used to improve labelling performance beyond what is possible when considering documents in isolation.
Work on collective document classifiers is based on the observation that some types of documents have features which are either ambiguous or not present in training data, but which have the special characteristic of indicating relationships between the labels of documents. Most often, an inter-document relationship indicates that two documents have the same label, but it may also indicate that they have different labels. In either case, classifiers gain an advantage if they can consider inter-document features.
Inter-document features can be explicit, as when a document cites or quotes another, or implicit, as when documents exist in semantically related groups in which stylistic, structural or semantic similarities are informative, or when they are related by a spatial or temporal structure.
In the first part of this thesis I survey the state-of-the-art in collective document classification and explore approaches for adding collective behaviour to standard document classifiers. I present an experimental evaluation of these techniques for use with explicit inter-document relationships. In the second part I develop techniques for extracting implicit inter-document relationships.
…
Subjects/Keywords: natural language processing; document classification; collective classification
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share





❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Burford, C. (2013). Collective document classification using explicit and implicit inter-document relationships. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/38110
Chicago Manual of Style (16th Edition):
Burford, Clinton. “Collective document classification using explicit and implicit inter-document relationships.” 2013. Doctoral Dissertation, University of Melbourne. Accessed March 07, 2021.
http://hdl.handle.net/11343/38110.
MLA Handbook (7th Edition):
Burford, Clinton. “Collective document classification using explicit and implicit inter-document relationships.” 2013. Web. 07 Mar 2021.
Vancouver:
Burford C. Collective document classification using explicit and implicit inter-document relationships. [Internet] [Doctoral dissertation]. University of Melbourne; 2013. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/11343/38110.
Council of Science Editors:
Burford C. Collective document classification using explicit and implicit inter-document relationships. [Doctoral Dissertation]. University of Melbourne; 2013. Available from: http://hdl.handle.net/11343/38110

University of Lethbridge
21.
Kennedy, Peter.
Automatic template-guided classification of remnant trees
.
Degree: 2014, University of Lethbridge
URL: http://hdl.handle.net/10133/3616
► Spectral features within satellite images change so frequently and unpredictably that spectral definitions of land cover are often only accurate for a single image. Consequently,…
(more)
▼ Spectral features within satellite images change so frequently and unpredictably that spectral definitions of land cover are often only accurate for a single image. Consequently, land-cover maps are expensive, because the superior pattern recognition skills of human analysts are required to manually tune spectral definitions of land cover to individual images. To reduce mapping costs, this study developed the Template-Guided Classification (TGC) algorithm, which classifies land cover automatically by reusing class information embedded in freely available large-area land-cover maps. TGC was applied to map remnant forest within six 10-m resolution SPOT images of the Vermilion River watershed in Alberta, Canada. Although the accuracy of the resulting forest maps was low (58% forest user's accuracy and 67% forest producer's accuracy), there were 25% and 8% fewer errors of omission and commission than the original maps, respectively. This improvement would be very useful if it could be obtained automatically over large-areas.
Subjects/Keywords: automatic classification;
land-cover classification;
map reuse
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share





❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Kennedy, P. (2014). Automatic template-guided classification of remnant trees
. (Thesis). University of Lethbridge. Retrieved from http://hdl.handle.net/10133/3616
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Kennedy, Peter. “Automatic template-guided classification of remnant trees
.” 2014. Thesis, University of Lethbridge. Accessed March 07, 2021.
http://hdl.handle.net/10133/3616.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Kennedy, Peter. “Automatic template-guided classification of remnant trees
.” 2014. Web. 07 Mar 2021.
Vancouver:
Kennedy P. Automatic template-guided classification of remnant trees
. [Internet] [Thesis]. University of Lethbridge; 2014. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/10133/3616.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Kennedy P. Automatic template-guided classification of remnant trees
. [Thesis]. University of Lethbridge; 2014. Available from: http://hdl.handle.net/10133/3616
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Louisiana State University
22.
Billiot, Amanda Michelle.
A Hybrid Procedure for Classifying Synoptic Weather Types for Louisiana with an Application to Precipitation Variability.
Degree: MS, Social and Behavioral Sciences, 2013, Louisiana State University
URL: etd-11082013-102007
;
https://digitalcommons.lsu.edu/gradschool_theses/965
► An automated synoptic weather classification system, based on the weather types devised by Robert Muller for Louisiana, is presented in this thesis and an application…
(more)
▼ An automated synoptic weather classification system, based on the weather types devised by Robert Muller for Louisiana, is presented in this thesis and an application of the classification system to precipitation variability in Louisiana is demonstrated. The automated classification presented here is a hybrid classification system that uses sea level pressure composites for each Muller weather type as seeds in a correlation procedure to classify daily NCEP/NCAR Reanalysis sea level pressure patterns. The resulting hybrid classification is automated, objective, and has value in describing the surface weather variability in Louisiana. In the second part of this research project, the newly developed hybrid classification system is used to establish relationships between synoptic weather types and precipitation variability in Louisiana. Weather types that produce precipitation in Louisiana are identified and, using linear regression models, the frequency of rainy weather types is used to predict seasonal rainfall for each of the nine Louisiana climate divisions. Averaged among all climate divisions, synoptic weather type frequency accounts for 25% of the interannual precipitation variability in winter, 14% in spring, 19% in summer, and 25% in fall. While the models are better at predicting the decadal scale variability and trends during fall and winter, these results indicate that synoptic frequency alone is insufficient to describe precipitation variability in Louisiana. Future work will need to identify additional predictors. However, the automated hybrid classification system presented in this study can be used for many additional applications in historical and future climate research for Louisiana.
Subjects/Keywords: climatology; synoptic climatology; synoptic classification; hybrid classification
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share





❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Billiot, A. M. (2013). A Hybrid Procedure for Classifying Synoptic Weather Types for Louisiana with an Application to Precipitation Variability. (Masters Thesis). Louisiana State University. Retrieved from etd-11082013-102007 ; https://digitalcommons.lsu.edu/gradschool_theses/965
Chicago Manual of Style (16th Edition):
Billiot, Amanda Michelle. “A Hybrid Procedure for Classifying Synoptic Weather Types for Louisiana with an Application to Precipitation Variability.” 2013. Masters Thesis, Louisiana State University. Accessed March 07, 2021.
etd-11082013-102007 ; https://digitalcommons.lsu.edu/gradschool_theses/965.
MLA Handbook (7th Edition):
Billiot, Amanda Michelle. “A Hybrid Procedure for Classifying Synoptic Weather Types for Louisiana with an Application to Precipitation Variability.” 2013. Web. 07 Mar 2021.
Vancouver:
Billiot AM. A Hybrid Procedure for Classifying Synoptic Weather Types for Louisiana with an Application to Precipitation Variability. [Internet] [Masters thesis]. Louisiana State University; 2013. [cited 2021 Mar 07].
Available from: etd-11082013-102007 ; https://digitalcommons.lsu.edu/gradschool_theses/965.
Council of Science Editors:
Billiot AM. A Hybrid Procedure for Classifying Synoptic Weather Types for Louisiana with an Application to Precipitation Variability. [Masters Thesis]. Louisiana State University; 2013. Available from: etd-11082013-102007 ; https://digitalcommons.lsu.edu/gradschool_theses/965

Rochester Institute of Technology
23.
Wells, Brendan.
Using Classification for Analysis of Multi-Modal Video Summarization.
Degree: MS, Computer Engineering, 2020, Rochester Institute of Technology
URL: https://scholarworks.rit.edu/theses/10509
► Video Summarization refers to taking the important contents of a video and condensing it down to an easily consumable piece of data without having…
(more)
▼ Video Summarization refers to taking the important contents of a video and condensing it down to an easily consumable piece of data without having to watch the entire video. Currently, Millions of Videos are being recorded and shared every day. These videos range from the consumer level, such as a birthday party or wedding video, all the way up to industry such as film and television. We have constructed a model that seeks to address the problem of not being able to consume all the media that is being presented to you because of time constraints. To do this, we conduct two separate experiments. The first experiment examines the role of different parts of the summarization model, namely modality, sampling rate, and data scaling so that we better understand how summaries are generated. The second experiment utilizes these findings to create a model based in
classification. We use
classification as a means of interpreting a wide variety of types of video for summarization. By using
classification to generate the video and audio features used by the summarizer, the classifier granularity is leveraged, and the maturity of
classification problems is leveraged to accomplish a summarization task. We found that while scaling and sampling of the data have little effect on the overall summary, in each experiment the modality played a large role in the results. While many models exclude audio, we found that there are benefits to including this data when generating a video summary. We also found that the use of
classification resulted in a separation of impacts for each modality, with video serving to construct the shape of the summary and audio determining importance score.
Advisors/Committee Members: Alexander Loui.
Subjects/Keywords: Classification; Summarization; Video
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share





❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Wells, B. (2020). Using Classification for Analysis of Multi-Modal Video Summarization. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/10509
Chicago Manual of Style (16th Edition):
Wells, Brendan. “Using Classification for Analysis of Multi-Modal Video Summarization.” 2020. Masters Thesis, Rochester Institute of Technology. Accessed March 07, 2021.
https://scholarworks.rit.edu/theses/10509.
MLA Handbook (7th Edition):
Wells, Brendan. “Using Classification for Analysis of Multi-Modal Video Summarization.” 2020. Web. 07 Mar 2021.
Vancouver:
Wells B. Using Classification for Analysis of Multi-Modal Video Summarization. [Internet] [Masters thesis]. Rochester Institute of Technology; 2020. [cited 2021 Mar 07].
Available from: https://scholarworks.rit.edu/theses/10509.
Council of Science Editors:
Wells B. Using Classification for Analysis of Multi-Modal Video Summarization. [Masters Thesis]. Rochester Institute of Technology; 2020. Available from: https://scholarworks.rit.edu/theses/10509

Texas A&M University
24.
Bahadorinejad, Arghavan.
Fault Detection and Diagnosis in Gene Regulatory Networks and Optimal Bayesian Classification of Metagenomic Data.
Degree: PhD, Electrical Engineering, 2017, Texas A&M University
URL: http://hdl.handle.net/1969.1/161434
► It is well known that the molecular basis of many diseases, particularly cancer, resides in the loss of regulatory power in critical genomic pathways due…
(more)
▼ It is well known that the molecular basis of many diseases, particularly cancer, resides in the loss of regulatory power in critical genomic pathways due to DNA mutations. We propose a methodology for model-based fault detection and diagnosis for stochastic Boolean dynamical systems indirectly observed through a single time series of transcriptomic measurements using Next Generation Sequencing (NGS) data. The fault detection consists of an innovations filter followed by a fault certification step, and requires no knowledge about the system faults. The innovations filter uses the optimal Boolean state estimator, called the Boolean Kalman Filter (BKF). We propose an additional step of fault diagnosis based on a multiple model adaptive estimation (MMAE) method consisting of a bank of BKFs running in parallel. The efficacy of the proposed methodology is demonstrated via numerical experiments using a p53-MDM2 negative feedback loop Boolean network. The results indicate the proposed method is promising in monitoring biological changes at the transcriptomic level. Genomic applications in the life sciences experimented an explosive growth with the advent of high-throughput measurement technologies, which are capable of delivering fast and relatively inexpensive profiles of gene and protein activity on a genome-wide or proteome-wide scale. For the study of microbial
classification, we propose a Bayesian method for the
classification of r16S sequencing pro- files of bacterial abundancies, by using a Dirichlet-Multinomial-Poisson model for microbial community samples. The proposed approach is compared to the kernel SVM, Random Forest and MetaPhyl
classification rules as a function of varying sample size,
classification difficulty, using synthetic data and real data sets. The proposed Bayesian classifier clearly displays the best performance over different values of between and within class variances that defines the difficulty of the
classification.
Advisors/Committee Members: Braga-Neto, Ulisses M (advisor), Dougherty, Edward (committee member), Serpedin, Erchin (committee member), Ivanov, Ivon (committee member).
Subjects/Keywords: Fault detection; Classification
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share





❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Bahadorinejad, A. (2017). Fault Detection and Diagnosis in Gene Regulatory Networks and Optimal Bayesian Classification of Metagenomic Data. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/161434
Chicago Manual of Style (16th Edition):
Bahadorinejad, Arghavan. “Fault Detection and Diagnosis in Gene Regulatory Networks and Optimal Bayesian Classification of Metagenomic Data.” 2017. Doctoral Dissertation, Texas A&M University. Accessed March 07, 2021.
http://hdl.handle.net/1969.1/161434.
MLA Handbook (7th Edition):
Bahadorinejad, Arghavan. “Fault Detection and Diagnosis in Gene Regulatory Networks and Optimal Bayesian Classification of Metagenomic Data.” 2017. Web. 07 Mar 2021.
Vancouver:
Bahadorinejad A. Fault Detection and Diagnosis in Gene Regulatory Networks and Optimal Bayesian Classification of Metagenomic Data. [Internet] [Doctoral dissertation]. Texas A&M University; 2017. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/1969.1/161434.
Council of Science Editors:
Bahadorinejad A. Fault Detection and Diagnosis in Gene Regulatory Networks and Optimal Bayesian Classification of Metagenomic Data. [Doctoral Dissertation]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/161434

Université Toulouse II – Le Mirail
25.
Mirmarashi, Fatemeh.
Adjectif en Persan : étude morphosyntaxique et sémantique : Persian adjective : morphosyntactic and semantic study.
Degree: Docteur es, Sciences du langage, 2011, Université Toulouse II – Le Mirail
URL: http://www.theses.fr/2011TOU20099
► Notre étude a commencé par une brève présentation de la langue persane et des parties du discours suivi par la démonstration de l'adjectif persan dans…
(more)
▼ Notre étude a commencé par une brève présentation de la langue persane et des parties du discours suivi par la démonstration de l'adjectif persan dans la grammaire contemporaine, notion floue dans les études antérieures. Étant donné que l'adjectif persan n'a pas de marquage flexionnel, cette étude exploratoire a pour but d’identifier des critères pertinents pour distinguer la catégorie adjectivale des autres catégories existantes (notamment nominale et verbale). Le résultat de ce travail nous a conduits à une étude morphosyntaxique et sémantique nous permettant de conclure au fait que l'adjectif persan est une sous-catégorie de la catégorie nominale.
Our study begins with a brief presentation of the Persian language and the parts of speech followed by the demonstration of the Persian adjective in the contemporary grammar and to look for this vague notion in the previous studies. Given that the Persian adjective has no inflected marking, this search aims to identifying distinctive criteria to distinguish the adjectival category from the other existing categories (in particular nominal and verbal). The results of this work conduct us towards a morphosyntactic and semantic study which allowing us to conclude that the Persian adjective is a subcategory of the nominal category.
Advisors/Committee Members: Choi-Jonin, Injoo (thesis director).
Subjects/Keywords: Épithète; Attribut; Classification morphosyntaxique; Classification sémantique; Predicative; Attributive; Morphosyntactic classification; Semantic classification
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share





❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Mirmarashi, F. (2011). Adjectif en Persan : étude morphosyntaxique et sémantique : Persian adjective : morphosyntactic and semantic study. (Doctoral Dissertation). Université Toulouse II – Le Mirail. Retrieved from http://www.theses.fr/2011TOU20099
Chicago Manual of Style (16th Edition):
Mirmarashi, Fatemeh. “Adjectif en Persan : étude morphosyntaxique et sémantique : Persian adjective : morphosyntactic and semantic study.” 2011. Doctoral Dissertation, Université Toulouse II – Le Mirail. Accessed March 07, 2021.
http://www.theses.fr/2011TOU20099.
MLA Handbook (7th Edition):
Mirmarashi, Fatemeh. “Adjectif en Persan : étude morphosyntaxique et sémantique : Persian adjective : morphosyntactic and semantic study.” 2011. Web. 07 Mar 2021.
Vancouver:
Mirmarashi F. Adjectif en Persan : étude morphosyntaxique et sémantique : Persian adjective : morphosyntactic and semantic study. [Internet] [Doctoral dissertation]. Université Toulouse II – Le Mirail; 2011. [cited 2021 Mar 07].
Available from: http://www.theses.fr/2011TOU20099.
Council of Science Editors:
Mirmarashi F. Adjectif en Persan : étude morphosyntaxique et sémantique : Persian adjective : morphosyntactic and semantic study. [Doctoral Dissertation]. Université Toulouse II – Le Mirail; 2011. Available from: http://www.theses.fr/2011TOU20099

University of Houston
26.
Almogahed, Bassam A. 1980-.
Toward Improved Classification of Imbalanced Data.
Degree: PhD, Computer Science, 2014, University of Houston
URL: http://hdl.handle.net/10657/1910
► There is an unprecedented amount of data available. This has caused knowledge discovery to garner attention in recent years. However, many real-world datasets are imbalanced.…
(more)
▼ There is an unprecedented amount of data available. This has caused knowledge discovery to garner attention in recent years. However, many real-world datasets are imbalanced. Learning from imbalanced data poses major challenges and is recognized as needing significant research. The problem with imbalanced data is the performance of learning algorithms in the presence of underrepresented data and severely skewed class distributions. Models trained on imbalanced datasets strongly favor the majority class and largely ignore the minority class. Several approaches introduced to date present both data-based and algorithmic solutions. However, both types of approaches have been criticized for their lack of generalization, tendency to forfeit information, and likelihood of resulting in over-fitting difficulties.
The goal of this thesis is to develop algorithms to balance imbalanced datasets to allow each classifier to reach optimal predictions. The specific objectives are to: (i) develop sampling methods for imbalanced data, (ii) develop a framework capable of determining which sampling method to use, (iii) evaluate performance of these methods on a variety of imbalanced datasets, and (iv) develop a new machine learning risk-prediction framework for cardiovascular events.
We propose a method for filtering over-sampled data using non-cooperative game theory. It addresses the imbalanced data issue by formulating the problem as a non-cooperative game. The proposed algorithm does not require any prior assumptions and selects representative synthetic instances while generating only a very small amount of noise. We also propose a technique for addressing imbalanced data using semi-supervised learning. Our method integrates under-sampling and semi-supervised learning (US-SSL) to tackle the imbalance problem. The proposed algorithm, on average, significantly outperforms all other sampling algorithms in 67% of cases, across three different classifiers, and ranks second best for the remaining 33% of cases. Finally, we propose a novel framework based on the US-SSL algorithm to select the appropriate semi-supervised algorithm to balance and refine a given dataset in order to establish a well-defined training set.
Advisors/Committee Members: Kakadiaris, Ioannis A. (advisor), Shah, Shishir Kirit (committee member), Eick, Christoph F. (committee member), Vilalta, Ricardo (committee member), Tsiamyrtzis, Panagiotis (committee member).
Subjects/Keywords: Classification; Imbalanced data
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share





❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Almogahed, B. A. 1. (2014). Toward Improved Classification of Imbalanced Data. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/1910
Chicago Manual of Style (16th Edition):
Almogahed, Bassam A 1980-. “Toward Improved Classification of Imbalanced Data.” 2014. Doctoral Dissertation, University of Houston. Accessed March 07, 2021.
http://hdl.handle.net/10657/1910.
MLA Handbook (7th Edition):
Almogahed, Bassam A 1980-. “Toward Improved Classification of Imbalanced Data.” 2014. Web. 07 Mar 2021.
Vancouver:
Almogahed BA1. Toward Improved Classification of Imbalanced Data. [Internet] [Doctoral dissertation]. University of Houston; 2014. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/10657/1910.
Council of Science Editors:
Almogahed BA1. Toward Improved Classification of Imbalanced Data. [Doctoral Dissertation]. University of Houston; 2014. Available from: http://hdl.handle.net/10657/1910

University of Houston
27.
Zhou, Xiong.
Semi-Supervised and Deep Learning in Optimal Subspaces for Classification of Disparate Hyperspectral Data.
Degree: PhD, Electrical Engineering, 2017, University of Houston
URL: http://hdl.handle.net/10657/4831
► Recent developments in remote sensing allow us to acquire enormous quantities of data via ground-based, airborne, and spaceborne platforms. Hyperspectral imagery (HSI) is a special…
(more)
▼ Recent developments in remote sensing allow us to acquire enormous quantities of data via ground-based, airborne, and spaceborne platforms. Hyperspectral imagery (HSI) is a special type of remote sensing data, which not only captures spatial information over large areas, but also can provide rich spectral information of objects in the scene. The high spectral and spatial resolution hyperspectral images hence provide unprecedented capability for mapping and monitoring over extended areas. On the other hand, these data pose multiple challenges on image
classification techniques, especially when the labeled reference data are not sufficient for training reliable models. In this dissertation, we present new frameworks for the
classification of hyperspectral images with limited labeled data, potentially collected from different sensors and platforms. Specifically, we introduce new active and semi-supervised learning approaches that can enable creation of interactive and efficient training libraries. By utilizing the contextual information in both spatial and spectral domains, new querying strategies (metrics) are proposed to intelligently select samples for labeling such that the best
classification performance can be achieved with the least amount of reference data. We also propose a transformation learning based domain adaptation algorithm that enables effective
classification of data in the target-domain using limited source-domain data. An optimal subspace is constructed through jointly optimizing feature discriminability and aligning class distributions among data sources. Within this optimal subspace, labeled data from the supplementary data source can be used to improve the
classification performance in the domain where limited labeled data is available. We further extend the domain adaptation algorithm into a deep learning framework, where a large amount of labeled data from the supplementary data source can be used to create domain-invariant and discriminative features for building robust
classification model. We evaluate the proposed methods on several hyperspectral datasets and use them to solve real-world hyperspectral image
classification problems. The results from extensive experiments demonstrate the efficacy of the proposed approaches compared to the state-of-the-art in hyperspectral image
classification.
Advisors/Committee Members: Prasad, Saurabh (advisor), Hebert, Thomas J. (committee member), Labate, Demetrio (committee member), Mayerich, David (committee member), Pan, Miao (committee member).
Subjects/Keywords: Hyperspectral imaging; Classification
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share





❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Zhou, X. (2017). Semi-Supervised and Deep Learning in Optimal Subspaces for Classification of Disparate Hyperspectral Data. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/4831
Chicago Manual of Style (16th Edition):
Zhou, Xiong. “Semi-Supervised and Deep Learning in Optimal Subspaces for Classification of Disparate Hyperspectral Data.” 2017. Doctoral Dissertation, University of Houston. Accessed March 07, 2021.
http://hdl.handle.net/10657/4831.
MLA Handbook (7th Edition):
Zhou, Xiong. “Semi-Supervised and Deep Learning in Optimal Subspaces for Classification of Disparate Hyperspectral Data.” 2017. Web. 07 Mar 2021.
Vancouver:
Zhou X. Semi-Supervised and Deep Learning in Optimal Subspaces for Classification of Disparate Hyperspectral Data. [Internet] [Doctoral dissertation]. University of Houston; 2017. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/10657/4831.
Council of Science Editors:
Zhou X. Semi-Supervised and Deep Learning in Optimal Subspaces for Classification of Disparate Hyperspectral Data. [Doctoral Dissertation]. University of Houston; 2017. Available from: http://hdl.handle.net/10657/4831

Columbia University
28.
Gasiunas-Kopp, Nemira Hathor.
Patterns of Perception.
Degree: 2019, Columbia University
URL: https://doi.org/10.7916/d8-6xhm-1492
► Our ordinary concept of perception contains a seeming tension: we distinguish perception from thought on the grounds that it is a direct awareness of mind-independent…
(more)
▼ Our ordinary concept of perception contains a seeming tension: we distinguish perception from thought on the grounds that it is a direct awareness of mind-independent objects through their effects on our senses; yet we also allow that what we see (hear, feel, etc) is determined by how we interpret or classify the data that comes through our senses. Theorists of perception disagree over which of these intuitions should prevail, with some maintaining that concepts are in play all the way down and others that perceptual awareness is wholly immediate and concrete. But we do not have to choose. This dissertation argues that the patterns of perception sustain a distinctive form of nonconceptual classification, in which property spaces organize sensory matter so as to preserve rather than discard its concreteness and detail. What then is classification without concepts? What sort of abstraction, generality, representation, or form does it entail? And what ramifications then for thinking about the roots of language and reason, and of our awareness of the external world?
Subjects/Keywords: Philosophy; Perception; Classification
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share





❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Gasiunas-Kopp, N. H. (2019). Patterns of Perception. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/d8-6xhm-1492
Chicago Manual of Style (16th Edition):
Gasiunas-Kopp, Nemira Hathor. “Patterns of Perception.” 2019. Doctoral Dissertation, Columbia University. Accessed March 07, 2021.
https://doi.org/10.7916/d8-6xhm-1492.
MLA Handbook (7th Edition):
Gasiunas-Kopp, Nemira Hathor. “Patterns of Perception.” 2019. Web. 07 Mar 2021.
Vancouver:
Gasiunas-Kopp NH. Patterns of Perception. [Internet] [Doctoral dissertation]. Columbia University; 2019. [cited 2021 Mar 07].
Available from: https://doi.org/10.7916/d8-6xhm-1492.
Council of Science Editors:
Gasiunas-Kopp NH. Patterns of Perception. [Doctoral Dissertation]. Columbia University; 2019. Available from: https://doi.org/10.7916/d8-6xhm-1492

Central Connecticut State University
29.
Ironside, Brian Michael, 1978-.
Improving the Performance of Ensemble Classifier Models through the Local Specialization of Base Classifiers.
Degree: Department of Mathematical Sciences, 2016, Central Connecticut State University
URL: http://content.library.ccsu.edu/u?/ccsutheses,2357
► Two approaches are tested to improve the predictive performance of classification ensembles, individually, and in combination. Eight datasets from the UCI machine learning repository are…
(more)
▼ Two approaches are tested to improve the predictive performance of classification ensembles, individually, and in combination. Eight datasets from the UCI machine learning repository are used to test the efficacy of these approaches. To reflect patterns specific to subregions of the data, base classifiers are trained on partitions of the training data generated by an unsupervised model. Gaussian modelbased clustering is used to create unsupervised partitions, due to its ability to model differences in the variances of predictors, correlations between predictors, and provide estimates of cluster membership probability for each data point. These clusters are evaluated according to their separation and robustness to initial conditions and data perturbations. The hypothesis space available to the classification ensembles is expanded by the use of multiple classification algorithms to train base classifiers. Classification trees, knearest neighbors, linear discriminant analysis, and artificial neural networks are used to train base classifiers, and provide a diverse set of model generation and pattern summarization heuristics. Ensembles are constructed using an “over-produce and select” strategy. A library of base classifiers are created, and then a subset is selected for inclusion in the ensemble in a stepwise manner, according to their ability to improve the mean squared error of the ensemble. The library of classifiers contains models trained on unsupervised partitions of the data, or trained using multiple algorithms, or both. To reflect both the refinement and calibration of the base classifiers when producing the ensemble prediction, predictions are weighted by their individual mean squared error. The ensembles strategies outperform the base classifiers. The ensembles composed of classifiers trained on unsupervised partitions of the data, but using only a single classification algorithm to train the base classifiers, outperform the ensembles created using multiple classification algorithms.
"Submitted in Partial Fulfillment of the Requirements for the Degree of Master of Science in Data Mining"; Thesis advisor: Daniel Larose.; M.S.,Central Connecticut State University,,2016.;
Advisors/Committee Members: Larose, Daniel T..
Subjects/Keywords: Data mining.; Classification.
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share





❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Ironside, Brian Michael, 1. (2016). Improving the Performance of Ensemble Classifier Models through the Local Specialization of Base Classifiers. (Thesis). Central Connecticut State University. Retrieved from http://content.library.ccsu.edu/u?/ccsutheses,2357
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Ironside, Brian Michael, 1978-. “Improving the Performance of Ensemble Classifier Models through the Local Specialization of Base Classifiers.” 2016. Thesis, Central Connecticut State University. Accessed March 07, 2021.
http://content.library.ccsu.edu/u?/ccsutheses,2357.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Ironside, Brian Michael, 1978-. “Improving the Performance of Ensemble Classifier Models through the Local Specialization of Base Classifiers.” 2016. Web. 07 Mar 2021.
Vancouver:
Ironside, Brian Michael 1. Improving the Performance of Ensemble Classifier Models through the Local Specialization of Base Classifiers. [Internet] [Thesis]. Central Connecticut State University; 2016. [cited 2021 Mar 07].
Available from: http://content.library.ccsu.edu/u?/ccsutheses,2357.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Ironside, Brian Michael 1. Improving the Performance of Ensemble Classifier Models through the Local Specialization of Base Classifiers. [Thesis]. Central Connecticut State University; 2016. Available from: http://content.library.ccsu.edu/u?/ccsutheses,2357
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Minnesota
30.
Dennison, Andrew.
Textural Analysis and Substrate Classification in the Nearshore Region of Lake Superior Using High-Resolution Multibeam Bathymetry.
Degree: MS, Earth Sciences, 2017, University of Minnesota
URL: http://hdl.handle.net/11299/191180
► Classification of the seafloor substrate can be done with a variety of methods. These methods include Visual (dives, drop cameras); mechanical (cores, grab samples); acoustic…
(more)
▼ Classification of the seafloor substrate can be done with a variety of methods. These methods include Visual (dives, drop cameras); mechanical (cores, grab samples); acoustic (statistical analysis of echosounder returns). Acoustic methods offer a more powerful and efficient means of collecting useful information about the bottom type. Due to the nature of an acoustic survey, larger areas can be sampled, and by combining the collected data with visual and mechanical survey methods provide greater confidence in the classification of a mapped region. During a multibeam sonar survey, both bathymetric and backscatter data is collected. It is well documented that the statistical characteristic of a sonar backscatter mosaic is dependent on bottom type. While classifying the bottom-type on the basis on backscatter alone can accurately predict and map bottom-type, i.e a muddy area from a rocky area, it lacks the ability to resolve and capture fine textural details, an important factor in many habitat mapping studies. Statistical processing of high-resolution multibeam data can capture the pertinent details about the bottom-type that are rich in textural information. Further multivariate statistical processing can then isolate characteristic features, and provide the basis for an accurate classification scheme. The development of a new classification method is described here. It is based upon the analysis of textural features in conjunction with ground truth sampling. The processing and classification result of two geologically distinct areas in nearshore regions of Lake Superior; off the Lester River,MN and Amnicon River, WI are presented here, using the Minnesota Supercomputer Institute's Mesabi computing cluster for initial processing. Processed data is then calibrated using ground truth samples to conduct an accuracy assessment of the surveyed areas. From analysis of high-resolution bathymetry data collected at both survey sites is was possible to successfully calculate a series of measures that describe textural information about the lake floor. Further processing suggests that the features calculated capture a significant amount of statistical information about the lake floor terrain as well. Two sources of error, an anomalous heave and refraction error significantly deteriorated the quality of the processed data and resulting validate results. Ground truth samples used to validate the classification methods utilized for both survey sites, however, resulted in accuracy values ranging from 5 -30 percent at the Amnicon River, and between 60-70 percent for the Lester River. The final results suggest that this new processing methodology does adequately capture textural information about the lake floor and does provide an acceptable classification in the absence of significant data quality issues.
Subjects/Keywords: Classification; Multibeam; Substrate
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share





❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Dennison, A. (2017). Textural Analysis and Substrate Classification in the Nearshore Region of Lake Superior Using High-Resolution Multibeam Bathymetry. (Masters Thesis). University of Minnesota. Retrieved from http://hdl.handle.net/11299/191180
Chicago Manual of Style (16th Edition):
Dennison, Andrew. “Textural Analysis and Substrate Classification in the Nearshore Region of Lake Superior Using High-Resolution Multibeam Bathymetry.” 2017. Masters Thesis, University of Minnesota. Accessed March 07, 2021.
http://hdl.handle.net/11299/191180.
MLA Handbook (7th Edition):
Dennison, Andrew. “Textural Analysis and Substrate Classification in the Nearshore Region of Lake Superior Using High-Resolution Multibeam Bathymetry.” 2017. Web. 07 Mar 2021.
Vancouver:
Dennison A. Textural Analysis and Substrate Classification in the Nearshore Region of Lake Superior Using High-Resolution Multibeam Bathymetry. [Internet] [Masters thesis]. University of Minnesota; 2017. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/11299/191180.
Council of Science Editors:
Dennison A. Textural Analysis and Substrate Classification in the Nearshore Region of Lake Superior Using High-Resolution Multibeam Bathymetry. [Masters Thesis]. University of Minnesota; 2017. Available from: http://hdl.handle.net/11299/191180
◁ [1] [2] [3] [4] [5] … [1133] ▶
.