subject:( classification)

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

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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)

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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

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th 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 (16^th 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 (7^th 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)

Subjects/Keywords: Classification

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th 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 (16^th 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 (7^th 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

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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)

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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

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th 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 (16^th 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 (7^th 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)

Subjects/Keywords: Dung beetles – Classification; Scarabaeidae – Classification

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APA (6^th 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 (16^th 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 (7^th 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

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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)

Subjects/Keywords: Associative classification

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APA (6^th 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 (16^th 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 (7^th 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)

Subjects/Keywords: classification; rationality

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th 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 (16^th 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 (7^th 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)

Subjects/Keywords: bipolar; classification

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APA (6^th Edition):

Bennett, C. B. (2019). Independence of Mania and Depression across 4 Years in Bipolar Disorder. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc1505184/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Bennett, Charles B. “Independence of Mania and Depression across 4 Years in Bipolar Disorder.” 2019. Thesis, University of North Texas. Accessed March 07, 2021. https://digital.library.unt.edu/ark:/67531/metadc1505184/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Bennett, Charles B. “Independence of Mania and Depression across 4 Years in Bipolar Disorder.” 2019. Web. 07 Mar 2021.

Vancouver:

Bennett CB. Independence of Mania and Depression across 4 Years in Bipolar Disorder. [Internet] [Thesis]. University of North Texas; 2019. [cited 2021 Mar 07]. Available from: https://digital.library.unt.edu/ark:/67531/metadc1505184/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bennett CB. Independence of Mania and Depression across 4 Years in Bipolar Disorder. [Thesis]. University of North Texas; 2019. Available from: https://digital.library.unt.edu/ark:/67531/metadc1505184/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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

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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)

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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

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th 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 (16^th 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 (7^th 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)

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…

8 more images…

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APA (6^th 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 (16^th 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 (7^th 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)

Subjects/Keywords: Text Classification

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APA (6^th 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 (16^th 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 (7^th 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)

Subjects/Keywords: Classification

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APA (6^th 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 (16^th 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 (7^th 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)

Subjects/Keywords: Beetles.; Classification.

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APA (6^th 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 (16^th 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 (7^th 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

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th 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 (16^th 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 (7^th 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

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APA (6^th 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 (16^th 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 (7^th 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

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APA (6^th 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 (16^th 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 (7^th 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

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th 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 (16^th 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 (7^th 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)

Subjects/Keywords: Remote Sensing; Most likelyhood classification; Classification

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APA (6^th 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 (16^th 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 (7^th 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

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th 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 (16^th 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 (7^th 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

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th 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 (16^th 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 (7^th 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

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th 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 (16^th 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 (7^th 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)

Subjects/Keywords: automatic classification; land-cover classification; map reuse

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APA (6^th 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 (16^th 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 (7^th 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)

Subjects/Keywords: climatology; synoptic climatology; synoptic classification; hybrid classification

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APA (6^th 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 (16^th 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 (7^th 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)

Subjects/Keywords: Classification; Summarization; Video

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APA (6^th 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 (16^th 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 (7^th 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

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th 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 (16^th 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 (7^th 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)

Subjects/Keywords: Épithète; Attribut; Classification morphosyntaxique; Classification sémantique; Predicative; Attributive; Morphosyntactic classification; Semantic classification

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APA (6^th 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 (16^th 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 (7^th 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

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APA (6^th 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 (16^th 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 (7^th 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

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th 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 (16^th 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 (7^th 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)

Subjects/Keywords: Philosophy; Perception; Classification

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APA (6^th 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 (16^th 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 (7^th 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

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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)

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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.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th 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 (16^th 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 (7^th 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

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th 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 (16^th 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 (7^th 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

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