Bayesian classifier

Results: 226



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21Supervised Machine Learning for Classifying Text with Ruby  1 Introduction 1.1 What are Classifiers In the world of text, classifiers or supervised machine learning is a method for assigning a class or category to textua

Supervised Machine Learning for Classifying Text with Ruby 1 Introduction 1.1 What are Classifiers In the world of text, classifiers or supervised machine learning is a method for assigning a class or category to textua

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Source URL: pauldix.blogs.com

Language: English - Date: 2008-08-28 10:03:30
22TUB @ MediaEval 2012 Tagging Task: Feature Selection Methods for Bag-of-(visual)-Words Approaches Sebastian Schmiedeke, Pascal Kelm, and Thomas Sikora Communication Systems Group Technische Universität Berlin, Germany

TUB @ MediaEval 2012 Tagging Task: Feature Selection Methods for Bag-of-(visual)-Words Approaches Sebastian Schmiedeke, Pascal Kelm, and Thomas Sikora Communication Systems Group Technische Universität Berlin, Germany

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Source URL: elvera.nue.tu-berlin.de

Language: English - Date: 2012-10-08 09:05:50
23Bayesian Classification of Insects Automatic Detection and Classification of Insects Based on preliminary experiments and the hardware constraints imposed by the domain (discussed elsewhere), we intended to use extension

Bayesian Classification of Insects Automatic Detection and Classification of Insects Based on preliminary experiments and the hardware constraints imposed by the domain (discussed elsewhere), we intended to use extension

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Source URL: www.cs.ucr.edu

Language: English - Date: 2011-06-02 14:55:58
24

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Source URL: www.taos-telecommunity.org

Language: English - Date: 2008-03-04 16:18:06
25Machine Learning, 29, 103–c 1997 Kluwer Academic Publishers. Manufactured in The Netherlands. °  On the Optimality of the Simple Bayesian Classifier

Machine Learning, 29, 103–c 1997 Kluwer Academic Publishers. Manufactured in The Netherlands. ° On the Optimality of the Simple Bayesian Classifier

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Source URL: www.cs.iastate.edu

Language: English - Date: 2002-03-13 15:51:49
26Collaborative Filtering: A Machine Learning Perspective  by Benjamin Marlin

Collaborative Filtering: A Machine Learning Perspective by Benjamin Marlin

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Source URL: www.cs.toronto.edu

Language: English - Date: 2009-06-29 08:36:48
27Improving Word Sense Disambiguation Using Topic Features Yee Whye Teh Jun Fu Cai, Wee Sun Lee Gatsby Computational Neuroscience Unit Department of Computer Science University College London

Improving Word Sense Disambiguation Using Topic Features Yee Whye Teh Jun Fu Cai, Wee Sun Lee Gatsby Computational Neuroscience Unit Department of Computer Science University College London

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Source URL: www.comp.nus.edu.sg

Language: English - Date: 2007-10-02 20:49:07
28Using Bayesian Classifiers to Combine Rules Jesse Davis, V´ıtor Santos Costa, Irene M. Ong, David Page and Inˆes Dutra Department of Biostatistics and Medical Informatics University of Madison-Wisconsin {jdavis, vitor

Using Bayesian Classifiers to Combine Rules Jesse Davis, V´ıtor Santos Costa, Irene M. Ong, David Page and Inˆes Dutra Department of Biostatistics and Medical Informatics University of Madison-Wisconsin {jdavis, vitor

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Source URL: pages.cs.wisc.edu

Language: English - Date: 2005-06-28 13:28:34
29View Learning for Statistical Relational Learning: With an Application to Mammography Jesse Davis, Elizabeth Burnside, Inˆes Dutra, David Page, Raghu Ramakrishnan, V´ıtor Santos Costa, Jude Shavlik University of Wisco

View Learning for Statistical Relational Learning: With an Application to Mammography Jesse Davis, Elizabeth Burnside, Inˆes Dutra, David Page, Raghu Ramakrishnan, V´ıtor Santos Costa, Jude Shavlik University of Wisco

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Source URL: pages.cs.wisc.edu

Language: English - Date: 2005-06-28 13:28:34
30

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Source URL: www.taos-telecommunity.org

Language: English - Date: 2008-03-04 16:18:09