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You searched for subject:(Classification non supervis e). Showing records 1 – 30 of 150306 total matches.

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Texas A&M University

1. Ulbrich, Carson. Methods for controlling Escherichia coli O157:H7 and Salmonella surrogates during the production of non-intact beef products.

Degree: 2012, Texas A&M University

 This study evaluated methods for controlling Escherichia coli O157:H7 and Salmonella non-pathogenic bacterial surrogates during the production of marinated non-intact beef products. Hot (~30 degrees… (more)

Subjects/Keywords: E. coli; Non-intact; Beef

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APA (6th Edition):

Ulbrich, C. (2012). Methods for controlling Escherichia coli O157:H7 and Salmonella surrogates during the production of non-intact beef products. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/148347

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

Chicago Manual of Style (16th Edition):

Ulbrich, Carson. “Methods for controlling Escherichia coli O157:H7 and Salmonella surrogates during the production of non-intact beef products.” 2012. Thesis, Texas A&M University. Accessed June 24, 2019. http://hdl.handle.net/1969.1/148347.

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

MLA Handbook (7th Edition):

Ulbrich, Carson. “Methods for controlling Escherichia coli O157:H7 and Salmonella surrogates during the production of non-intact beef products.” 2012. Web. 24 Jun 2019.

Vancouver:

Ulbrich C. Methods for controlling Escherichia coli O157:H7 and Salmonella surrogates during the production of non-intact beef products. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 Jun 24]. Available from: http://hdl.handle.net/1969.1/148347.

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

Council of Science Editors:

Ulbrich C. Methods for controlling Escherichia coli O157:H7 and Salmonella surrogates during the production of non-intact beef products. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/148347

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


University of Alberta

2. Thapa, Chaman. Classifying Websites into Non-topical Categories.

Degree: MS, Department of Computing Science, 2012, University of Alberta

 With the large presence of organizations from different sectors of economy on the web, the problem of detecting which sector a given website belongs to… (more)

Subjects/Keywords: non-topical categories; co-training; website classification

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APA (6th Edition):

Thapa, C. (2012). Classifying Websites into Non-topical Categories. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/dz010q66x

Chicago Manual of Style (16th Edition):

Thapa, Chaman. “Classifying Websites into Non-topical Categories.” 2012. Masters Thesis, University of Alberta. Accessed June 24, 2019. https://era.library.ualberta.ca/files/dz010q66x.

MLA Handbook (7th Edition):

Thapa, Chaman. “Classifying Websites into Non-topical Categories.” 2012. Web. 24 Jun 2019.

Vancouver:

Thapa C. Classifying Websites into Non-topical Categories. [Internet] [Masters thesis]. University of Alberta; 2012. [cited 2019 Jun 24]. Available from: https://era.library.ualberta.ca/files/dz010q66x.

Council of Science Editors:

Thapa C. Classifying Websites into Non-topical Categories. [Masters Thesis]. University of Alberta; 2012. Available from: https://era.library.ualberta.ca/files/dz010q66x

3. Lourme, Alexandre. Contribution à la classification par modèles de mélange et classification simultanée d’échantillons d’origines multiples : Contribution to Model-Based Clustering and Simultaneous Clustering of Samples Arising from Multiple Origins.

Degree: Docteur es, Mathématiques appliquées, 2011, Université Lille I – Sciences et Technologies

Dans la première partie de cette thèse nous passons en revue la classification par modèle de mélange. En particulier nous décrivons une famille de mélanges… (more)

Subjects/Keywords: Classification non-supervisée; Mélanges gaussiens; 519.537

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APA (6th Edition):

Lourme, A. (2011). Contribution à la classification par modèles de mélange et classification simultanée d’échantillons d’origines multiples : Contribution to Model-Based Clustering and Simultaneous Clustering of Samples Arising from Multiple Origins. (Doctoral Dissertation). Université Lille I – Sciences et Technologies. Retrieved from http://www.theses.fr/2011LIL10073

Chicago Manual of Style (16th Edition):

Lourme, Alexandre. “Contribution à la classification par modèles de mélange et classification simultanée d’échantillons d’origines multiples : Contribution to Model-Based Clustering and Simultaneous Clustering of Samples Arising from Multiple Origins.” 2011. Doctoral Dissertation, Université Lille I – Sciences et Technologies. Accessed June 24, 2019. http://www.theses.fr/2011LIL10073.

MLA Handbook (7th Edition):

Lourme, Alexandre. “Contribution à la classification par modèles de mélange et classification simultanée d’échantillons d’origines multiples : Contribution to Model-Based Clustering and Simultaneous Clustering of Samples Arising from Multiple Origins.” 2011. Web. 24 Jun 2019.

Vancouver:

Lourme A. Contribution à la classification par modèles de mélange et classification simultanée d’échantillons d’origines multiples : Contribution to Model-Based Clustering and Simultaneous Clustering of Samples Arising from Multiple Origins. [Internet] [Doctoral dissertation]. Université Lille I – Sciences et Technologies; 2011. [cited 2019 Jun 24]. Available from: http://www.theses.fr/2011LIL10073.

Council of Science Editors:

Lourme A. Contribution à la classification par modèles de mélange et classification simultanée d’échantillons d’origines multiples : Contribution to Model-Based Clustering and Simultaneous Clustering of Samples Arising from Multiple Origins. [Doctoral Dissertation]. Université Lille I – Sciences et Technologies; 2011. Available from: http://www.theses.fr/2011LIL10073


Virginia Tech

4. Chavali, Venkata Gautham. Signal Detection and Modulation Classification in Non-Gaussian Noise Environments.

Degree: PhD, Electrical and Computer Engineering, 2012, Virginia Tech

 Signal detection and modulation classification are becoming increasingly important in a variety of wireless communication systems such as those involving spectrum management and electronic warfare… (more)

Subjects/Keywords: Modulation classification; Non-Gaussian noise; Signal detection

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APA (6th Edition):

Chavali, V. G. (2012). Signal Detection and Modulation Classification in Non-Gaussian Noise Environments. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/28387

Chicago Manual of Style (16th Edition):

Chavali, Venkata Gautham. “Signal Detection and Modulation Classification in Non-Gaussian Noise Environments.” 2012. Doctoral Dissertation, Virginia Tech. Accessed June 24, 2019. http://hdl.handle.net/10919/28387.

MLA Handbook (7th Edition):

Chavali, Venkata Gautham. “Signal Detection and Modulation Classification in Non-Gaussian Noise Environments.” 2012. Web. 24 Jun 2019.

Vancouver:

Chavali VG. Signal Detection and Modulation Classification in Non-Gaussian Noise Environments. [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2019 Jun 24]. Available from: http://hdl.handle.net/10919/28387.

Council of Science Editors:

Chavali VG. Signal Detection and Modulation Classification in Non-Gaussian Noise Environments. [Doctoral Dissertation]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/28387

5. Chaari, Anis. Nouvelle approche d'identification dans les bases de données biométriques basée sur une classification non supervisée : A new identification approach in biometric databases based on unsupervised classification.

Degree: Docteur es, Sciences de l'ingénieur, 2009, Evry-Val d'Essonne; École Nationale des Sciences de l'Informatique (La Manouba, Tunisie)

Les travaux effectués dans le cadre de cette thèse portent sur l’identification automatique de visages dans des bases de données d’images numériques. L’objectif est de… (more)

Subjects/Keywords: Classification non supervisée

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APA (6th Edition):

Chaari, A. (2009). Nouvelle approche d'identification dans les bases de données biométriques basée sur une classification non supervisée : A new identification approach in biometric databases based on unsupervised classification. (Doctoral Dissertation). Evry-Val d'Essonne; École Nationale des Sciences de l'Informatique (La Manouba, Tunisie). Retrieved from http://www.theses.fr/2009EVRY0019

Chicago Manual of Style (16th Edition):

Chaari, Anis. “Nouvelle approche d'identification dans les bases de données biométriques basée sur une classification non supervisée : A new identification approach in biometric databases based on unsupervised classification.” 2009. Doctoral Dissertation, Evry-Val d'Essonne; École Nationale des Sciences de l'Informatique (La Manouba, Tunisie). Accessed June 24, 2019. http://www.theses.fr/2009EVRY0019.

MLA Handbook (7th Edition):

Chaari, Anis. “Nouvelle approche d'identification dans les bases de données biométriques basée sur une classification non supervisée : A new identification approach in biometric databases based on unsupervised classification.” 2009. Web. 24 Jun 2019.

Vancouver:

Chaari A. Nouvelle approche d'identification dans les bases de données biométriques basée sur une classification non supervisée : A new identification approach in biometric databases based on unsupervised classification. [Internet] [Doctoral dissertation]. Evry-Val d'Essonne; École Nationale des Sciences de l'Informatique (La Manouba, Tunisie); 2009. [cited 2019 Jun 24]. Available from: http://www.theses.fr/2009EVRY0019.

Council of Science Editors:

Chaari A. Nouvelle approche d'identification dans les bases de données biométriques basée sur une classification non supervisée : A new identification approach in biometric databases based on unsupervised classification. [Doctoral Dissertation]. Evry-Val d'Essonne; École Nationale des Sciences de l'Informatique (La Manouba, Tunisie); 2009. Available from: http://www.theses.fr/2009EVRY0019

6. Sîrbu, Adela-Maria. Dynamic machine learning for supervised and unsupervised classification : Apprentissage automatique dynamique pour la classification supervisée et non supervisée.

Degree: Docteur es, Informatique, 2016, Rouen, INSA; Universitatea Babeş-Bolyai (Cluj-Napoca, Roumanie)

 La direction de recherche que nous abordons dans la thèse est l'application des modèles dynamiques d'apprentissage automatique pour résoudre les problèmes de classification supervisée et… (more)

Subjects/Keywords: Classification supervisée; Classification non supervisée; Expression génétique; Dynamic classification; Pedestrian recognition; Gene clustering; Dynamic fusion

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APA (6th Edition):

Sîrbu, A. (2016). Dynamic machine learning for supervised and unsupervised classification : Apprentissage automatique dynamique pour la classification supervisée et non supervisée. (Doctoral Dissertation). Rouen, INSA; Universitatea Babeş-Bolyai (Cluj-Napoca, Roumanie). Retrieved from http://www.theses.fr/2016ISAM0002

Chicago Manual of Style (16th Edition):

Sîrbu, Adela-Maria. “Dynamic machine learning for supervised and unsupervised classification : Apprentissage automatique dynamique pour la classification supervisée et non supervisée.” 2016. Doctoral Dissertation, Rouen, INSA; Universitatea Babeş-Bolyai (Cluj-Napoca, Roumanie). Accessed June 24, 2019. http://www.theses.fr/2016ISAM0002.

MLA Handbook (7th Edition):

Sîrbu, Adela-Maria. “Dynamic machine learning for supervised and unsupervised classification : Apprentissage automatique dynamique pour la classification supervisée et non supervisée.” 2016. Web. 24 Jun 2019.

Vancouver:

Sîrbu A. Dynamic machine learning for supervised and unsupervised classification : Apprentissage automatique dynamique pour la classification supervisée et non supervisée. [Internet] [Doctoral dissertation]. Rouen, INSA; Universitatea Babeş-Bolyai (Cluj-Napoca, Roumanie); 2016. [cited 2019 Jun 24]. Available from: http://www.theses.fr/2016ISAM0002.

Council of Science Editors:

Sîrbu A. Dynamic machine learning for supervised and unsupervised classification : Apprentissage automatique dynamique pour la classification supervisée et non supervisée. [Doctoral Dissertation]. Rouen, INSA; Universitatea Babeş-Bolyai (Cluj-Napoca, Roumanie); 2016. Available from: http://www.theses.fr/2016ISAM0002


UCLA

7. Larriva, Matthew Rudolph. Semi-Greedy Construction of Oblique-Split Decision Trees.

Degree: Statistics, 2019, UCLA

 Classication and Regression Trees (CART) are a method of structured prediction widely used in machine learning. Favored for their robustness to non-linear relationships and interpretability… (more)

Subjects/Keywords: Statistics; CART; Classification and Regression Trees; Classification Tree; Non-greedy; Regression Tree; Semi-greedy

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APA (6th Edition):

Larriva, M. R. (2019). Semi-Greedy Construction of Oblique-Split Decision Trees. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/2w3950hh

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

Chicago Manual of Style (16th Edition):

Larriva, Matthew Rudolph. “Semi-Greedy Construction of Oblique-Split Decision Trees.” 2019. Thesis, UCLA. Accessed June 24, 2019. http://www.escholarship.org/uc/item/2w3950hh.

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

MLA Handbook (7th Edition):

Larriva, Matthew Rudolph. “Semi-Greedy Construction of Oblique-Split Decision Trees.” 2019. Web. 24 Jun 2019.

Vancouver:

Larriva MR. Semi-Greedy Construction of Oblique-Split Decision Trees. [Internet] [Thesis]. UCLA; 2019. [cited 2019 Jun 24]. Available from: http://www.escholarship.org/uc/item/2w3950hh.

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

Council of Science Editors:

Larriva MR. Semi-Greedy Construction of Oblique-Split Decision Trees. [Thesis]. UCLA; 2019. Available from: http://www.escholarship.org/uc/item/2w3950hh

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


Université Catholique de Louvain

8. Amouh, Teh. Analysis of tabular non-standard data with decision trees, and application to hypnogram-based detection of sleep profile.

Degree: 2011, Université Catholique de Louvain

 The amount of data in the world and in our lives seems ever-increasing and there is no end in sight. Such a situation is supported… (more)

Subjects/Keywords: Supervised classification; Clustering; Decision trees; Non-standard data; Sleep analysis

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APA (6th Edition):

Amouh, T. (2011). Analysis of tabular non-standard data with decision trees, and application to hypnogram-based detection of sleep profile. (Thesis). Université Catholique de Louvain. Retrieved from http://hdl.handle.net/2078.1/105005

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

Chicago Manual of Style (16th Edition):

Amouh, Teh. “Analysis of tabular non-standard data with decision trees, and application to hypnogram-based detection of sleep profile.” 2011. Thesis, Université Catholique de Louvain. Accessed June 24, 2019. http://hdl.handle.net/2078.1/105005.

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

MLA Handbook (7th Edition):

Amouh, Teh. “Analysis of tabular non-standard data with decision trees, and application to hypnogram-based detection of sleep profile.” 2011. Web. 24 Jun 2019.

Vancouver:

Amouh T. Analysis of tabular non-standard data with decision trees, and application to hypnogram-based detection of sleep profile. [Internet] [Thesis]. Université Catholique de Louvain; 2011. [cited 2019 Jun 24]. Available from: http://hdl.handle.net/2078.1/105005.

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

Council of Science Editors:

Amouh T. Analysis of tabular non-standard data with decision trees, and application to hypnogram-based detection of sleep profile. [Thesis]. Université Catholique de Louvain; 2011. Available from: http://hdl.handle.net/2078.1/105005

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


Louisiana State University

9. Jha, Nishant. EFFECTIVE METHODS AND TOOLS FOR MINING APP STORE REVIEWS.

Degree: PhD, Computer Engineering, 2018, Louisiana State University

  Research on mining user reviews in mobile application (app) stores has noticeably advanced in the past few years. The main objective is to extract… (more)

Subjects/Keywords: Requirements elicitation; Application store; Classification; Summarization; Functional Requirements; Non-functional Requirements

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APA (6th Edition):

Jha, N. (2018). EFFECTIVE METHODS AND TOOLS FOR MINING APP STORE REVIEWS. (Doctoral Dissertation). Louisiana State University. Retrieved from https://digitalcommons.lsu.edu/gradschool_dissertations/4730

Chicago Manual of Style (16th Edition):

Jha, Nishant. “EFFECTIVE METHODS AND TOOLS FOR MINING APP STORE REVIEWS.” 2018. Doctoral Dissertation, Louisiana State University. Accessed June 24, 2019. https://digitalcommons.lsu.edu/gradschool_dissertations/4730.

MLA Handbook (7th Edition):

Jha, Nishant. “EFFECTIVE METHODS AND TOOLS FOR MINING APP STORE REVIEWS.” 2018. Web. 24 Jun 2019.

Vancouver:

Jha N. EFFECTIVE METHODS AND TOOLS FOR MINING APP STORE REVIEWS. [Internet] [Doctoral dissertation]. Louisiana State University; 2018. [cited 2019 Jun 24]. Available from: https://digitalcommons.lsu.edu/gradschool_dissertations/4730.

Council of Science Editors:

Jha N. EFFECTIVE METHODS AND TOOLS FOR MINING APP STORE REVIEWS. [Doctoral Dissertation]. Louisiana State University; 2018. Available from: https://digitalcommons.lsu.edu/gradschool_dissertations/4730


Florida International University

10. ISLAM, MOHAMMAD NAZRUL. Three Essays on Financial Statement Comparability.

Degree: PhD, Business Administration, 2018, Florida International University

  Comparability is a central feature of financial reporting systems. Comparability is defined by FASB (2010, 19) as “the qualitative characteristic that enables users to… (more)

Subjects/Keywords: Comparability; Trade Credit; Classification Shifting; non-Big4 Auditors; Accounting

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APA (6th Edition):

ISLAM, M. N. (2018). Three Essays on Financial Statement Comparability. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/3760 ; 10.25148/etd.FIDC006875 ; FIDC006875

Chicago Manual of Style (16th Edition):

ISLAM, MOHAMMAD NAZRUL. “Three Essays on Financial Statement Comparability.” 2018. Doctoral Dissertation, Florida International University. Accessed June 24, 2019. https://digitalcommons.fiu.edu/etd/3760 ; 10.25148/etd.FIDC006875 ; FIDC006875.

MLA Handbook (7th Edition):

ISLAM, MOHAMMAD NAZRUL. “Three Essays on Financial Statement Comparability.” 2018. Web. 24 Jun 2019.

Vancouver:

ISLAM MN. Three Essays on Financial Statement Comparability. [Internet] [Doctoral dissertation]. Florida International University; 2018. [cited 2019 Jun 24]. Available from: https://digitalcommons.fiu.edu/etd/3760 ; 10.25148/etd.FIDC006875 ; FIDC006875.

Council of Science Editors:

ISLAM MN. Three Essays on Financial Statement Comparability. [Doctoral Dissertation]. Florida International University; 2018. Available from: https://digitalcommons.fiu.edu/etd/3760 ; 10.25148/etd.FIDC006875 ; FIDC006875


University of Southern California

11. Youn, Seongwook. Spam e-mail filtering via global and user-level dynamic ontologies.

Degree: PhD, Computer Science, 2009, University of Southern California

E-mail is clearly a very important communication method between people on the Internet. However, the constant increase of e-mail misuse/abuse has resulted in a huge… (more)

Subjects/Keywords: e-mail; ontology; spam filtering; text classification

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APA (6th Edition):

Youn, S. (2009). Spam e-mail filtering via global and user-level dynamic ontologies. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/278798/rec/5971

Chicago Manual of Style (16th Edition):

Youn, Seongwook. “Spam e-mail filtering via global and user-level dynamic ontologies.” 2009. Doctoral Dissertation, University of Southern California. Accessed June 24, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/278798/rec/5971.

MLA Handbook (7th Edition):

Youn, Seongwook. “Spam e-mail filtering via global and user-level dynamic ontologies.” 2009. Web. 24 Jun 2019.

Vancouver:

Youn S. Spam e-mail filtering via global and user-level dynamic ontologies. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2019 Jun 24]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/278798/rec/5971.

Council of Science Editors:

Youn S. Spam e-mail filtering via global and user-level dynamic ontologies. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/278798/rec/5971


Universidade do Minho

12. Oliveira, Mário Jorge Rodrigues. Metodologia estatística para a classificação das escolas secundárias em Portugal .

Degree: 2013, Universidade do Minho

 Neste trabalho pretende-se efetuar um estudo, na área da Estatística, sobre a classificação das Escolas Secundárias (Portugal Continental e Ilhas) relativamente aos resultados alcançados nas… (more)

Subjects/Keywords: Classificação; Indicador educativo; Coeficiente de correlação ordinal de Spearman; Análise de Clusters; Testes de hipóteses paramétricos e não paramétricos; Classification; Educational indicator; Spearman ordinal correlation coefficient; Clusters analysis; Parametric and non-parametric hypothesis tests

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APA (6th Edition):

Oliveira, M. J. R. (2013). Metodologia estatística para a classificação das escolas secundárias em Portugal . (Masters Thesis). Universidade do Minho. Retrieved from http://hdl.handle.net/1822/24750

Chicago Manual of Style (16th Edition):

Oliveira, Mário Jorge Rodrigues. “Metodologia estatística para a classificação das escolas secundárias em Portugal .” 2013. Masters Thesis, Universidade do Minho. Accessed June 24, 2019. http://hdl.handle.net/1822/24750.

MLA Handbook (7th Edition):

Oliveira, Mário Jorge Rodrigues. “Metodologia estatística para a classificação das escolas secundárias em Portugal .” 2013. Web. 24 Jun 2019.

Vancouver:

Oliveira MJR. Metodologia estatística para a classificação das escolas secundárias em Portugal . [Internet] [Masters thesis]. Universidade do Minho; 2013. [cited 2019 Jun 24]. Available from: http://hdl.handle.net/1822/24750.

Council of Science Editors:

Oliveira MJR. Metodologia estatística para a classificação das escolas secundárias em Portugal . [Masters Thesis]. Universidade do Minho; 2013. Available from: http://hdl.handle.net/1822/24750


Montana Tech

13. Palmieri, Emily. An Adventurous E-Reader for Non-Linear E-Books.

Degree: MS, 2015, Montana Tech

Non-linear books are published in print format as sequential text or digitally as collections of documents linked together via hyperlinks. These publication methods are… (more)

Subjects/Keywords: e-books; e-readers; hypertexts; non-linear texts; Reading and Language

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APA (6th Edition):

Palmieri, E. (2015). An Adventurous E-Reader for Non-Linear E-Books. (Masters Thesis). Montana Tech. Retrieved from https://scholarworks.umt.edu/etd/4501

Chicago Manual of Style (16th Edition):

Palmieri, Emily. “An Adventurous E-Reader for Non-Linear E-Books.” 2015. Masters Thesis, Montana Tech. Accessed June 24, 2019. https://scholarworks.umt.edu/etd/4501.

MLA Handbook (7th Edition):

Palmieri, Emily. “An Adventurous E-Reader for Non-Linear E-Books.” 2015. Web. 24 Jun 2019.

Vancouver:

Palmieri E. An Adventurous E-Reader for Non-Linear E-Books. [Internet] [Masters thesis]. Montana Tech; 2015. [cited 2019 Jun 24]. Available from: https://scholarworks.umt.edu/etd/4501.

Council of Science Editors:

Palmieri E. An Adventurous E-Reader for Non-Linear E-Books. [Masters Thesis]. Montana Tech; 2015. Available from: https://scholarworks.umt.edu/etd/4501


NSYSU

14. Yang, Wan-Chen. Topic Evolution Discovery based on Regularized Matrix Factorization.

Degree: Master, Information Management, 2018, NSYSU

 In this thesis, we propose Hierarchical Non-negative Matrix Factorization(hNMF) to discover the hierarchical correlation among topics. The topics in lower layers are more concrete, whereas… (more)

Subjects/Keywords: Topic model; Hierarchical model; Non-negative matrix factorization; Hierarchical Non-negative matrix factorization; Topic classification; Topic evolution discovery; Multi-layer topic

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APA (6th Edition):

Yang, W. (2018). Topic Evolution Discovery based on Regularized Matrix Factorization. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727118-143310

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

Chicago Manual of Style (16th Edition):

Yang, Wan-Chen. “Topic Evolution Discovery based on Regularized Matrix Factorization.” 2018. Thesis, NSYSU. Accessed June 24, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727118-143310.

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

MLA Handbook (7th Edition):

Yang, Wan-Chen. “Topic Evolution Discovery based on Regularized Matrix Factorization.” 2018. Web. 24 Jun 2019.

Vancouver:

Yang W. Topic Evolution Discovery based on Regularized Matrix Factorization. [Internet] [Thesis]. NSYSU; 2018. [cited 2019 Jun 24]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727118-143310.

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

Council of Science Editors:

Yang W. Topic Evolution Discovery based on Regularized Matrix Factorization. [Thesis]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727118-143310

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


Universidade Nova

15. Pereira, Ana Sofia Taborda Martins. Development of a Cellulose Acetate Multisensorial Membrane.

Degree: 2017, Universidade Nova

 Biological fluids are the most measured media to monitor metabolites like glucose. Glucose measuring is important since it requires routine track for pa-tients undergoing self-testing,… (more)

Subjects/Keywords: biosensor; non-enzymatic; non-invasive; glucose; pH; cellulose acetate; Domínio/Área Científica::Engenharia e Tecnologia::Outras Engenharias e Tecnologias

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

APA (6th Edition):

Pereira, A. S. T. M. (2017). Development of a Cellulose Acetate Multisensorial Membrane. (Thesis). Universidade Nova. Retrieved from https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/33786

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

Chicago Manual of Style (16th Edition):

Pereira, Ana Sofia Taborda Martins. “Development of a Cellulose Acetate Multisensorial Membrane.” 2017. Thesis, Universidade Nova. Accessed June 24, 2019. https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/33786.

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

MLA Handbook (7th Edition):

Pereira, Ana Sofia Taborda Martins. “Development of a Cellulose Acetate Multisensorial Membrane.” 2017. Web. 24 Jun 2019.

Vancouver:

Pereira ASTM. Development of a Cellulose Acetate Multisensorial Membrane. [Internet] [Thesis]. Universidade Nova; 2017. [cited 2019 Jun 24]. Available from: https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/33786.

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

Council of Science Editors:

Pereira ASTM. Development of a Cellulose Acetate Multisensorial Membrane. [Thesis]. Universidade Nova; 2017. Available from: https://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/33786

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

16. Brisebarre, Godefroy. Détection de changements en imagerie hyperspectrale : une approche directionnelle : Change detection in hyperspectral imagery : a directional approach.

Degree: Docteur es, Optique, Photonique et Traitement d'Image, 2014, Ecole centrale de Marseille

L’imagerie hyperspectrale est un type d’imagerie émergent qui connaît un essor important depuis le début des années 2000. Grâce à une structure spectrale très fine… (more)

Subjects/Keywords: Classification de changements; Dé-mélange; Factorisation en matrice non-négatives; Change classification; Unmixing; Nonnegative Matrix Factorization

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APA (6th Edition):

Brisebarre, G. (2014). Détection de changements en imagerie hyperspectrale : une approche directionnelle : Change detection in hyperspectral imagery : a directional approach. (Doctoral Dissertation). Ecole centrale de Marseille. Retrieved from http://www.theses.fr/2014ECDM0010

Chicago Manual of Style (16th Edition):

Brisebarre, Godefroy. “Détection de changements en imagerie hyperspectrale : une approche directionnelle : Change detection in hyperspectral imagery : a directional approach.” 2014. Doctoral Dissertation, Ecole centrale de Marseille. Accessed June 24, 2019. http://www.theses.fr/2014ECDM0010.

MLA Handbook (7th Edition):

Brisebarre, Godefroy. “Détection de changements en imagerie hyperspectrale : une approche directionnelle : Change detection in hyperspectral imagery : a directional approach.” 2014. Web. 24 Jun 2019.

Vancouver:

Brisebarre G. Détection de changements en imagerie hyperspectrale : une approche directionnelle : Change detection in hyperspectral imagery : a directional approach. [Internet] [Doctoral dissertation]. Ecole centrale de Marseille; 2014. [cited 2019 Jun 24]. Available from: http://www.theses.fr/2014ECDM0010.

Council of Science Editors:

Brisebarre G. Détection de changements en imagerie hyperspectrale : une approche directionnelle : Change detection in hyperspectral imagery : a directional approach. [Doctoral Dissertation]. Ecole centrale de Marseille; 2014. Available from: http://www.theses.fr/2014ECDM0010

17. Fernandes maligo, Artur otavio. Unsupervised Gaussian mixture models for the classification of outdoor environments using 3D terrestrial lidar data : Modèles de mélange gaussien sans surveillance pour la classification des environnements extérieurs en utilisant des données 3D de lidar terrestre.

Degree: Docteur es, Robotique, 2016, Toulouse, INSA

Le traitement de nuages de points 3D de lidars permet aux robots mobiles autonomes terrestres de construire des modèles sémantiques de l'environnement extérieur dans lequel… (more)

Subjects/Keywords: Classification non-supervisée; Mélange de gaussiennes; Données 3D Lidar; Gaussian mixtures; Lidar point-clouds; Unsupervised classification; 629.8

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APA (6th Edition):

Fernandes maligo, A. o. (2016). Unsupervised Gaussian mixture models for the classification of outdoor environments using 3D terrestrial lidar data : Modèles de mélange gaussien sans surveillance pour la classification des environnements extérieurs en utilisant des données 3D de lidar terrestre. (Doctoral Dissertation). Toulouse, INSA. Retrieved from http://www.theses.fr/2016ISAT0053

Chicago Manual of Style (16th Edition):

Fernandes maligo, Artur otavio. “Unsupervised Gaussian mixture models for the classification of outdoor environments using 3D terrestrial lidar data : Modèles de mélange gaussien sans surveillance pour la classification des environnements extérieurs en utilisant des données 3D de lidar terrestre.” 2016. Doctoral Dissertation, Toulouse, INSA. Accessed June 24, 2019. http://www.theses.fr/2016ISAT0053.

MLA Handbook (7th Edition):

Fernandes maligo, Artur otavio. “Unsupervised Gaussian mixture models for the classification of outdoor environments using 3D terrestrial lidar data : Modèles de mélange gaussien sans surveillance pour la classification des environnements extérieurs en utilisant des données 3D de lidar terrestre.” 2016. Web. 24 Jun 2019.

Vancouver:

Fernandes maligo Ao. Unsupervised Gaussian mixture models for the classification of outdoor environments using 3D terrestrial lidar data : Modèles de mélange gaussien sans surveillance pour la classification des environnements extérieurs en utilisant des données 3D de lidar terrestre. [Internet] [Doctoral dissertation]. Toulouse, INSA; 2016. [cited 2019 Jun 24]. Available from: http://www.theses.fr/2016ISAT0053.

Council of Science Editors:

Fernandes maligo Ao. Unsupervised Gaussian mixture models for the classification of outdoor environments using 3D terrestrial lidar data : Modèles de mélange gaussien sans surveillance pour la classification des environnements extérieurs en utilisant des données 3D de lidar terrestre. [Doctoral Dissertation]. Toulouse, INSA; 2016. Available from: http://www.theses.fr/2016ISAT0053

18. Chen, Bai Yang. Partitionnement non supervisé d'images hyperspectrales : application à l'identification de la végétation littorale : Unsupervised partitioning approach of hyperspectral image : application to the identification of the algal vegetation.

Degree: Docteur es, Traitement du signal et télécommunications, 2016, Rennes 1

La première partie de ce travail présente un état de l'art des principaux critères non supervisés, non paramétriques, d'évaluation d'une partition, des méthodes d'estimation préliminaires… (more)

Subjects/Keywords: Classification hiérarchique; Partitionnement non supervisé; Imagerie hyperspectrale; Végétation algale; Hierarchical classification; Unsupervised partitioning; Nonparametric; Hyperspectral imagery; Algal vegetation

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APA (6th Edition):

Chen, B. Y. (2016). Partitionnement non supervisé d'images hyperspectrales : application à l'identification de la végétation littorale : Unsupervised partitioning approach of hyperspectral image : application to the identification of the algal vegetation. (Doctoral Dissertation). Rennes 1. Retrieved from http://www.theses.fr/2016REN1S152

Chicago Manual of Style (16th Edition):

Chen, Bai Yang. “Partitionnement non supervisé d'images hyperspectrales : application à l'identification de la végétation littorale : Unsupervised partitioning approach of hyperspectral image : application to the identification of the algal vegetation.” 2016. Doctoral Dissertation, Rennes 1. Accessed June 24, 2019. http://www.theses.fr/2016REN1S152.

MLA Handbook (7th Edition):

Chen, Bai Yang. “Partitionnement non supervisé d'images hyperspectrales : application à l'identification de la végétation littorale : Unsupervised partitioning approach of hyperspectral image : application to the identification of the algal vegetation.” 2016. Web. 24 Jun 2019.

Vancouver:

Chen BY. Partitionnement non supervisé d'images hyperspectrales : application à l'identification de la végétation littorale : Unsupervised partitioning approach of hyperspectral image : application to the identification of the algal vegetation. [Internet] [Doctoral dissertation]. Rennes 1; 2016. [cited 2019 Jun 24]. Available from: http://www.theses.fr/2016REN1S152.

Council of Science Editors:

Chen BY. Partitionnement non supervisé d'images hyperspectrales : application à l'identification de la végétation littorale : Unsupervised partitioning approach of hyperspectral image : application to the identification of the algal vegetation. [Doctoral Dissertation]. Rennes 1; 2016. Available from: http://www.theses.fr/2016REN1S152


Université Paris-Sud – Paris XI

19. Lemeunier, Nadège. Douleurs lombaires dans la population générale : évolution et classification : Low back pain in the general population : Natural course and classification.

Degree: Docteur es, Sciences du sport et du mouvement humain, 2015, Université Paris-Sud – Paris XI

Le but de cette thèse est d’étudier s’il existe une méthode de récolte d’informations, autre que celle couramment utilisée, permettant de mieux décrire l’histoire naturelle… (more)

Subjects/Keywords: Lombalgie non spécifique; Evolution; Classification; Population générale; Etude prospective; Nonspecific low back pain; Natural history; Classification; General population; Prospective study

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APA (6th Edition):

Lemeunier, N. (2015). Douleurs lombaires dans la population générale : évolution et classification : Low back pain in the general population : Natural course and classification. (Doctoral Dissertation). Université Paris-Sud – Paris XI. Retrieved from http://www.theses.fr/2015PA113001

Chicago Manual of Style (16th Edition):

Lemeunier, Nadège. “Douleurs lombaires dans la population générale : évolution et classification : Low back pain in the general population : Natural course and classification.” 2015. Doctoral Dissertation, Université Paris-Sud – Paris XI. Accessed June 24, 2019. http://www.theses.fr/2015PA113001.

MLA Handbook (7th Edition):

Lemeunier, Nadège. “Douleurs lombaires dans la population générale : évolution et classification : Low back pain in the general population : Natural course and classification.” 2015. Web. 24 Jun 2019.

Vancouver:

Lemeunier N. Douleurs lombaires dans la population générale : évolution et classification : Low back pain in the general population : Natural course and classification. [Internet] [Doctoral dissertation]. Université Paris-Sud – Paris XI; 2015. [cited 2019 Jun 24]. Available from: http://www.theses.fr/2015PA113001.

Council of Science Editors:

Lemeunier N. Douleurs lombaires dans la population générale : évolution et classification : Low back pain in the general population : Natural course and classification. [Doctoral Dissertation]. Université Paris-Sud – Paris XI; 2015. Available from: http://www.theses.fr/2015PA113001

20. Thiaw, Lamine. Identification de systèmes dynamiques non-linéaires par réseaux de neurones et multimodèles : Identification of non linear dynamical system by neural networks and multiple models.

Degree: Docteur es, Génie informatique, automatique et traitement du signal, 2008, Université Paris-Est

Cette étude traite de l’identification de système dynamique non-linéaire. Une architecture multimodèle capable de surmonter certaines difficultés de l’architecture neuronale de type MLP a été… (more)

Subjects/Keywords: Identification; Systèmes dynamiques non-linéaires; Multimodèles; Réseaux de neurones MLP; Modèles récurrents; Classification floue; Identification; Non linear dynamical systems; Multiple models; MLP neural networks; Recurrents models; Fuzzy classification

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APA (6th Edition):

Thiaw, L. (2008). Identification de systèmes dynamiques non-linéaires par réseaux de neurones et multimodèles : Identification of non linear dynamical system by neural networks and multiple models. (Doctoral Dissertation). Université Paris-Est. Retrieved from http://www.theses.fr/2008PEST0002

Chicago Manual of Style (16th Edition):

Thiaw, Lamine. “Identification de systèmes dynamiques non-linéaires par réseaux de neurones et multimodèles : Identification of non linear dynamical system by neural networks and multiple models.” 2008. Doctoral Dissertation, Université Paris-Est. Accessed June 24, 2019. http://www.theses.fr/2008PEST0002.

MLA Handbook (7th Edition):

Thiaw, Lamine. “Identification de systèmes dynamiques non-linéaires par réseaux de neurones et multimodèles : Identification of non linear dynamical system by neural networks and multiple models.” 2008. Web. 24 Jun 2019.

Vancouver:

Thiaw L. Identification de systèmes dynamiques non-linéaires par réseaux de neurones et multimodèles : Identification of non linear dynamical system by neural networks and multiple models. [Internet] [Doctoral dissertation]. Université Paris-Est; 2008. [cited 2019 Jun 24]. Available from: http://www.theses.fr/2008PEST0002.

Council of Science Editors:

Thiaw L. Identification de systèmes dynamiques non-linéaires par réseaux de neurones et multimodèles : Identification of non linear dynamical system by neural networks and multiple models. [Doctoral Dissertation]. Université Paris-Est; 2008. Available from: http://www.theses.fr/2008PEST0002

21. Ngo Ho, Anh Khoi. Méthodes de classifications dynamiques et incrémentales : application à la numérisation cognitive d'images de documents : Incremental and dynamic learning for document image : application for intelligent cognitive scanning of documents.

Degree: Docteur es, Informatique, 2015, Université François-Rabelais de Tours

Cette thèse s’intéresse à la problématique de la classification dynamique en environnements stationnaires et non stationnaires, tolérante aux variations de quantités des données d’apprentissage et… (more)

Subjects/Keywords: Classification dynamique; Incrémentalité; SVM; Environnement stationnaire et non-stationnaire; Images de documents; Numérisation; Document classification; Incremental learning; One-class SVM classifier; Stationary and non-stationary environments; Selection of support vectors

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APA (6th Edition):

Ngo Ho, A. K. (2015). Méthodes de classifications dynamiques et incrémentales : application à la numérisation cognitive d'images de documents : Incremental and dynamic learning for document image : application for intelligent cognitive scanning of documents. (Doctoral Dissertation). Université François-Rabelais de Tours. Retrieved from http://www.theses.fr/2015TOUR4006

Chicago Manual of Style (16th Edition):

Ngo Ho, Anh Khoi. “Méthodes de classifications dynamiques et incrémentales : application à la numérisation cognitive d'images de documents : Incremental and dynamic learning for document image : application for intelligent cognitive scanning of documents.” 2015. Doctoral Dissertation, Université François-Rabelais de Tours. Accessed June 24, 2019. http://www.theses.fr/2015TOUR4006.

MLA Handbook (7th Edition):

Ngo Ho, Anh Khoi. “Méthodes de classifications dynamiques et incrémentales : application à la numérisation cognitive d'images de documents : Incremental and dynamic learning for document image : application for intelligent cognitive scanning of documents.” 2015. Web. 24 Jun 2019.

Vancouver:

Ngo Ho AK. Méthodes de classifications dynamiques et incrémentales : application à la numérisation cognitive d'images de documents : Incremental and dynamic learning for document image : application for intelligent cognitive scanning of documents. [Internet] [Doctoral dissertation]. Université François-Rabelais de Tours; 2015. [cited 2019 Jun 24]. Available from: http://www.theses.fr/2015TOUR4006.

Council of Science Editors:

Ngo Ho AK. Méthodes de classifications dynamiques et incrémentales : application à la numérisation cognitive d'images de documents : Incremental and dynamic learning for document image : application for intelligent cognitive scanning of documents. [Doctoral Dissertation]. Université François-Rabelais de Tours; 2015. Available from: http://www.theses.fr/2015TOUR4006

22. Dachraoui, Asma. Cost-Sensitive Early classification of Time Series : Classification précoce de séries temporelles lorsque reporter la décision est coûteux.

Degree: Docteur es, Informatique appliquée, 2017, Paris Saclay

Dans de nombreux domaines dans lesquels les mesures ou les données sont disponibles séquentiellement, il est important de savoir décider le plus tôt possible, même… (more)

Subjects/Keywords: Classification précoce; Séries temporelles; Décision adaptative et non myope; Coûts d'attente de décision; Early classification; Time series; Adaptive and non-Myopic decision making; Costly delaying decision; 610.28

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APA (6th Edition):

Dachraoui, A. (2017). Cost-Sensitive Early classification of Time Series : Classification précoce de séries temporelles lorsque reporter la décision est coûteux. (Doctoral Dissertation). Paris Saclay. Retrieved from http://www.theses.fr/2017SACLA002

Chicago Manual of Style (16th Edition):

Dachraoui, Asma. “Cost-Sensitive Early classification of Time Series : Classification précoce de séries temporelles lorsque reporter la décision est coûteux.” 2017. Doctoral Dissertation, Paris Saclay. Accessed June 24, 2019. http://www.theses.fr/2017SACLA002.

MLA Handbook (7th Edition):

Dachraoui, Asma. “Cost-Sensitive Early classification of Time Series : Classification précoce de séries temporelles lorsque reporter la décision est coûteux.” 2017. Web. 24 Jun 2019.

Vancouver:

Dachraoui A. Cost-Sensitive Early classification of Time Series : Classification précoce de séries temporelles lorsque reporter la décision est coûteux. [Internet] [Doctoral dissertation]. Paris Saclay; 2017. [cited 2019 Jun 24]. Available from: http://www.theses.fr/2017SACLA002.

Council of Science Editors:

Dachraoui A. Cost-Sensitive Early classification of Time Series : Classification précoce de séries temporelles lorsque reporter la décision est coûteux. [Doctoral Dissertation]. Paris Saclay; 2017. Available from: http://www.theses.fr/2017SACLA002


Université de Sherbrooke

23. Goulet, Sylvain. Techniques d'identification d'entités nommées et de classification non-supervisée pour des requêtes de recherche web à l'aide d'informations contenues dans les pages web visitées .

Degree: 2014, Université de Sherbrooke

 Le web est maintenant devenu une importante source d’information et de divertissement pour un grand nombre de personnes et les techniques pour accéder au contenu… (more)

Subjects/Keywords: Classification non-supervisée; Requête de recherche web; Détection d’entités nommées; Topic modeling; Fouille du web

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APA (6th Edition):

Goulet, S. (2014). Techniques d'identification d'entités nommées et de classification non-supervisée pour des requêtes de recherche web à l'aide d'informations contenues dans les pages web visitées . (Masters Thesis). Université de Sherbrooke. Retrieved from http://hdl.handle.net/11143/5387

Chicago Manual of Style (16th Edition):

Goulet, Sylvain. “Techniques d'identification d'entités nommées et de classification non-supervisée pour des requêtes de recherche web à l'aide d'informations contenues dans les pages web visitées .” 2014. Masters Thesis, Université de Sherbrooke. Accessed June 24, 2019. http://hdl.handle.net/11143/5387.

MLA Handbook (7th Edition):

Goulet, Sylvain. “Techniques d'identification d'entités nommées et de classification non-supervisée pour des requêtes de recherche web à l'aide d'informations contenues dans les pages web visitées .” 2014. Web. 24 Jun 2019.

Vancouver:

Goulet S. Techniques d'identification d'entités nommées et de classification non-supervisée pour des requêtes de recherche web à l'aide d'informations contenues dans les pages web visitées . [Internet] [Masters thesis]. Université de Sherbrooke; 2014. [cited 2019 Jun 24]. Available from: http://hdl.handle.net/11143/5387.

Council of Science Editors:

Goulet S. Techniques d'identification d'entités nommées et de classification non-supervisée pour des requêtes de recherche web à l'aide d'informations contenues dans les pages web visitées . [Masters Thesis]. Université de Sherbrooke; 2014. Available from: http://hdl.handle.net/11143/5387


University of Waterloo

24. Ezami, Sahba. Extracting Non-Functional Requirements from Unstructured Text.

Degree: 2018, University of Waterloo

Non-functional requirements (NFRs) of a software system describe desired quality attributes rather than specific user-visible features; NFRs model stakeholder expectations about pervasive system properties such… (more)

Subjects/Keywords: requirements engineering; non-functional requirements; natural language processing; machine learning; text classification

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APA (6th Edition):

Ezami, S. (2018). Extracting Non-Functional Requirements from Unstructured Text. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/12889

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

Chicago Manual of Style (16th Edition):

Ezami, Sahba. “Extracting Non-Functional Requirements from Unstructured Text.” 2018. Thesis, University of Waterloo. Accessed June 24, 2019. http://hdl.handle.net/10012/12889.

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

MLA Handbook (7th Edition):

Ezami, Sahba. “Extracting Non-Functional Requirements from Unstructured Text.” 2018. Web. 24 Jun 2019.

Vancouver:

Ezami S. Extracting Non-Functional Requirements from Unstructured Text. [Internet] [Thesis]. University of Waterloo; 2018. [cited 2019 Jun 24]. Available from: http://hdl.handle.net/10012/12889.

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

Council of Science Editors:

Ezami S. Extracting Non-Functional Requirements from Unstructured Text. [Thesis]. University of Waterloo; 2018. Available from: http://hdl.handle.net/10012/12889

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

25. Caldairou, Benoît. Contributions à la segmentation des structures cérébrales en IRM foetale : Contributions to cerebral structures segmentation in fetal MRI.

Degree: Docteur es, Signal, image, automatique et robotique, 2012, Université de Strasbourg

L'étude de la maturation cérébrale a pour objectif une meilleure compréhension du développement du cerveau durant la grossesse et la mise en évidence des liens… (more)

Subjects/Keywords: Maturation cérébrale; Contraintes géométriques; Classification floue; Moyennes non-locales; Magnetic resonance imaging; 006.3; 006.6; 621.38

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APA (6th Edition):

Caldairou, B. (2012). Contributions à la segmentation des structures cérébrales en IRM foetale : Contributions to cerebral structures segmentation in fetal MRI. (Doctoral Dissertation). Université de Strasbourg. Retrieved from http://www.theses.fr/2012STRAD015

Chicago Manual of Style (16th Edition):

Caldairou, Benoît. “Contributions à la segmentation des structures cérébrales en IRM foetale : Contributions to cerebral structures segmentation in fetal MRI.” 2012. Doctoral Dissertation, Université de Strasbourg. Accessed June 24, 2019. http://www.theses.fr/2012STRAD015.

MLA Handbook (7th Edition):

Caldairou, Benoît. “Contributions à la segmentation des structures cérébrales en IRM foetale : Contributions to cerebral structures segmentation in fetal MRI.” 2012. Web. 24 Jun 2019.

Vancouver:

Caldairou B. Contributions à la segmentation des structures cérébrales en IRM foetale : Contributions to cerebral structures segmentation in fetal MRI. [Internet] [Doctoral dissertation]. Université de Strasbourg; 2012. [cited 2019 Jun 24]. Available from: http://www.theses.fr/2012STRAD015.

Council of Science Editors:

Caldairou B. Contributions à la segmentation des structures cérébrales en IRM foetale : Contributions to cerebral structures segmentation in fetal MRI. [Doctoral Dissertation]. Université de Strasbourg; 2012. Available from: http://www.theses.fr/2012STRAD015


University of Manchester

26. Reeve, Henry. Learning in high dimensions with asymmetric costs.

Degree: PhD, 2019, University of Manchester

 A classifier making predictions in noisy environments with limited data will inevitably make some mistakes. However, some types of error are more harmful than others.… (more)

Subjects/Keywords: k nearest neighbours; Minimax; Neyman Pearson; Non-parametric; Machine Learning; Classification; Cost sensitive

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APA (6th Edition):

Reeve, H. (2019). Learning in high dimensions with asymmetric costs. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/learning-in-high-dimensions-with-asymmetric-costs(142c8ff1-bb8b-4320-9af3-89a68f778483).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.771471

Chicago Manual of Style (16th Edition):

Reeve, Henry. “Learning in high dimensions with asymmetric costs.” 2019. Doctoral Dissertation, University of Manchester. Accessed June 24, 2019. https://www.research.manchester.ac.uk/portal/en/theses/learning-in-high-dimensions-with-asymmetric-costs(142c8ff1-bb8b-4320-9af3-89a68f778483).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.771471.

MLA Handbook (7th Edition):

Reeve, Henry. “Learning in high dimensions with asymmetric costs.” 2019. Web. 24 Jun 2019.

Vancouver:

Reeve H. Learning in high dimensions with asymmetric costs. [Internet] [Doctoral dissertation]. University of Manchester; 2019. [cited 2019 Jun 24]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/learning-in-high-dimensions-with-asymmetric-costs(142c8ff1-bb8b-4320-9af3-89a68f778483).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.771471.

Council of Science Editors:

Reeve H. Learning in high dimensions with asymmetric costs. [Doctoral Dissertation]. University of Manchester; 2019. Available from: https://www.research.manchester.ac.uk/portal/en/theses/learning-in-high-dimensions-with-asymmetric-costs(142c8ff1-bb8b-4320-9af3-89a68f778483).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.771471


Universitat Politècnica de València

27. Safont Armero, Gonzalo. New Insights in Prediction and Dynamic Modeling from Non-Gaussian Mixture Processing Methods .

Degree: 2015, Universitat Politècnica de València

 [EN] This thesis considers new applications of non-Gaussian mixtures in the framework of statistical signal processing and pattern recognition. The non-Gaussian mixtures were implemented by… (more)

Subjects/Keywords: Independent component analysis; Finite mixture models; Data prediction; Classification; Pattern recognition; Non-destructive testing; Electroencepalography

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APA (6th Edition):

Safont Armero, G. (2015). New Insights in Prediction and Dynamic Modeling from Non-Gaussian Mixture Processing Methods . (Doctoral Dissertation). Universitat Politècnica de València. Retrieved from http://hdl.handle.net/10251/53913

Chicago Manual of Style (16th Edition):

Safont Armero, Gonzalo. “New Insights in Prediction and Dynamic Modeling from Non-Gaussian Mixture Processing Methods .” 2015. Doctoral Dissertation, Universitat Politècnica de València. Accessed June 24, 2019. http://hdl.handle.net/10251/53913.

MLA Handbook (7th Edition):

Safont Armero, Gonzalo. “New Insights in Prediction and Dynamic Modeling from Non-Gaussian Mixture Processing Methods .” 2015. Web. 24 Jun 2019.

Vancouver:

Safont Armero G. New Insights in Prediction and Dynamic Modeling from Non-Gaussian Mixture Processing Methods . [Internet] [Doctoral dissertation]. Universitat Politècnica de València; 2015. [cited 2019 Jun 24]. Available from: http://hdl.handle.net/10251/53913.

Council of Science Editors:

Safont Armero G. New Insights in Prediction and Dynamic Modeling from Non-Gaussian Mixture Processing Methods . [Doctoral Dissertation]. Universitat Politècnica de València; 2015. Available from: http://hdl.handle.net/10251/53913


University of New South Wales

28. Wataraka Gamage, Kalani. Speech-Based Emotion Recognition: Linguistic and Saliency-Based Systems.

Degree: Electrical Engineering & Telecommunications, 2018, University of New South Wales

 Speech-based emotion recognition is a research field of growing interest, which aims to identifyhuman emotions based on speech. The main contributions of this thesis revolve… (more)

Subjects/Keywords: Emotion classification; Speech based Emotion Recognition; Continuous Emotion Prediction; Vocal Gestures; Non-verbal vocalizations; lexical

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APA (6th Edition):

Wataraka Gamage, K. (2018). Speech-Based Emotion Recognition: Linguistic and Saliency-Based Systems. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/60426 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:52192/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Wataraka Gamage, Kalani. “Speech-Based Emotion Recognition: Linguistic and Saliency-Based Systems.” 2018. Doctoral Dissertation, University of New South Wales. Accessed June 24, 2019. http://handle.unsw.edu.au/1959.4/60426 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:52192/SOURCE02?view=true.

MLA Handbook (7th Edition):

Wataraka Gamage, Kalani. “Speech-Based Emotion Recognition: Linguistic and Saliency-Based Systems.” 2018. Web. 24 Jun 2019.

Vancouver:

Wataraka Gamage K. Speech-Based Emotion Recognition: Linguistic and Saliency-Based Systems. [Internet] [Doctoral dissertation]. University of New South Wales; 2018. [cited 2019 Jun 24]. Available from: http://handle.unsw.edu.au/1959.4/60426 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:52192/SOURCE02?view=true.

Council of Science Editors:

Wataraka Gamage K. Speech-Based Emotion Recognition: Linguistic and Saliency-Based Systems. [Doctoral Dissertation]. University of New South Wales; 2018. Available from: http://handle.unsw.edu.au/1959.4/60426 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:52192/SOURCE02?view=true


Vanderbilt University

29. Al-Hammadi, Faisal Mohamed. The Impact of Audio Classification on Detecting Seizures and Psychogenic Non-Epileptic Seizures.

Degree: MS, Electrical Engineering, 2015, Vanderbilt University

 Epilepsy vocalization feature, defined as the sound patients produce when undergoing a seizure/Psychogenic Non-Epileptic Seizure (PNES), is one of the features used to diagnose epilepsy/PNES.… (more)

Subjects/Keywords: seizures; audio classification; Pattern recognition; psychogenic non-epileptic seizures; QDA; LDA; SVM

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APA (6th Edition):

Al-Hammadi, F. M. (2015). The Impact of Audio Classification on Detecting Seizures and Psychogenic Non-Epileptic Seizures. (Masters Thesis). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-04102015-052500/ ;

Chicago Manual of Style (16th Edition):

Al-Hammadi, Faisal Mohamed. “The Impact of Audio Classification on Detecting Seizures and Psychogenic Non-Epileptic Seizures.” 2015. Masters Thesis, Vanderbilt University. Accessed June 24, 2019. http://etd.library.vanderbilt.edu/available/etd-04102015-052500/ ;.

MLA Handbook (7th Edition):

Al-Hammadi, Faisal Mohamed. “The Impact of Audio Classification on Detecting Seizures and Psychogenic Non-Epileptic Seizures.” 2015. Web. 24 Jun 2019.

Vancouver:

Al-Hammadi FM. The Impact of Audio Classification on Detecting Seizures and Psychogenic Non-Epileptic Seizures. [Internet] [Masters thesis]. Vanderbilt University; 2015. [cited 2019 Jun 24]. Available from: http://etd.library.vanderbilt.edu/available/etd-04102015-052500/ ;.

Council of Science Editors:

Al-Hammadi FM. The Impact of Audio Classification on Detecting Seizures and Psychogenic Non-Epileptic Seizures. [Masters Thesis]. Vanderbilt University; 2015. Available from: http://etd.library.vanderbilt.edu/available/etd-04102015-052500/ ;

30. Bahri, Nesrine. Une commande neuronale adaptative basée sur des émulateurs neuronal et multimodèle pour les systèmes non linéaires MIMO et SIMO : An adaptative neural control based on neural and multimodel emulators for MIMO and SIMO non linear systems.

Degree: Docteur es, Automatique et traitement du signal, 2015, Le Havre; École nationale d'ingénieurs de Gabès (Tunisie)

La porosité d'une plaque composite carbone / époxy de type RTM est connue par tomographie X. Une méthode de détermination de cette porosité par mesure… (more)

Subjects/Keywords: Optimisation non linéaire; Systèmes SIMO; Commande adaptative indirecte; Multimodèle découplé; Non linear systems; SIMO and NIMO systems; Neural network; Indirect adapative control; Non linear optimisation; Classification

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

APA (6th Edition):

Bahri, N. (2015). Une commande neuronale adaptative basée sur des émulateurs neuronal et multimodèle pour les systèmes non linéaires MIMO et SIMO : An adaptative neural control based on neural and multimodel emulators for MIMO and SIMO non linear systems. (Doctoral Dissertation). Le Havre; École nationale d'ingénieurs de Gabès (Tunisie). Retrieved from http://www.theses.fr/2015LEHA0024

Chicago Manual of Style (16th Edition):

Bahri, Nesrine. “Une commande neuronale adaptative basée sur des émulateurs neuronal et multimodèle pour les systèmes non linéaires MIMO et SIMO : An adaptative neural control based on neural and multimodel emulators for MIMO and SIMO non linear systems.” 2015. Doctoral Dissertation, Le Havre; École nationale d'ingénieurs de Gabès (Tunisie). Accessed June 24, 2019. http://www.theses.fr/2015LEHA0024.

MLA Handbook (7th Edition):

Bahri, Nesrine. “Une commande neuronale adaptative basée sur des émulateurs neuronal et multimodèle pour les systèmes non linéaires MIMO et SIMO : An adaptative neural control based on neural and multimodel emulators for MIMO and SIMO non linear systems.” 2015. Web. 24 Jun 2019.

Vancouver:

Bahri N. Une commande neuronale adaptative basée sur des émulateurs neuronal et multimodèle pour les systèmes non linéaires MIMO et SIMO : An adaptative neural control based on neural and multimodel emulators for MIMO and SIMO non linear systems. [Internet] [Doctoral dissertation]. Le Havre; École nationale d'ingénieurs de Gabès (Tunisie); 2015. [cited 2019 Jun 24]. Available from: http://www.theses.fr/2015LEHA0024.

Council of Science Editors:

Bahri N. Une commande neuronale adaptative basée sur des émulateurs neuronal et multimodèle pour les systèmes non linéaires MIMO et SIMO : An adaptative neural control based on neural and multimodel emulators for MIMO and SIMO non linear systems. [Doctoral Dissertation]. Le Havre; École nationale d'ingénieurs de Gabès (Tunisie); 2015. Available from: http://www.theses.fr/2015LEHA0024

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