Bayesian classifier

Results: 226



#Item
51Mixed-effects inference for classification studies Release v1.04 (r19160) for MATLAB, March 2013 Introduction Classification algorithms are often used in a hierarchical setting, where a classifier is trained and tested o

Mixed-effects inference for classification studies Release v1.04 (r19160) for MATLAB, March 2013 Introduction Classification algorithms are often used in a hierarchical setting, where a classifier is trained and tested o

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Source URL: people.inf.ethz.ch

Language: English - Date: 2015-01-04 06:15:14
52On the Effectiveness of Obfuscation Techniques in Online Social Networks Terence Chen1,2 , Roksana Boreli1,2 , Mohamed-Ali Kaafar1,3 , and Arik Friedman1,2 1

On the Effectiveness of Obfuscation Techniques in Online Social Networks Terence Chen1,2 , Roksana Boreli1,2 , Mohamed-Ali Kaafar1,3 , and Arik Friedman1,2 1

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Source URL: nrg.nicta.com.au

Language: English - Date: 2014-05-11 22:50:20
53The Optimality of Naive Bayes Harry Zhang Faculty of Computer Science University of New Brunswick Fredericton, New Brunswick, Canada E3B 5A3

The Optimality of Naive Bayes Harry Zhang Faculty of Computer Science University of New Brunswick Fredericton, New Brunswick, Canada E3B 5A3

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Source URL: chem-eng.utoronto.ca

Language: English - Date: 2011-03-26 12:00:06
54Mixed-effects inference for classification studies R package v1.02 (r19176), March 2013 Introduction Classification algorithms are often used in a hierarchical setting, where a classifier is trained and tested on individ

Mixed-effects inference for classification studies R package v1.02 (r19176), March 2013 Introduction Classification algorithms are often used in a hierarchical setting, where a classifier is trained and tested on individ

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Source URL: people.inf.ethz.ch

Language: English - Date: 2015-01-04 06:15:15
55Journal of Artificial Intelligence Research637  Submitted 02/14; publishedProbabilistic Inference in Credal Networks: New Complexity Results

Journal of Artificial Intelligence Research637 Submitted 02/14; publishedProbabilistic Inference in Credal Networks: New Complexity Results

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Source URL: www.jair.org

Language: English - Date: 2014-07-28 01:14:54
56A Scalable Probabilistic Classifier for Language Modeling  Joel Lang Institute for Language, Cognition and Computation School of Informatics, University of Edinburgh 10 Crichton Street, Edinburgh EH8 9AB, UK

A Scalable Probabilistic Classifier for Language Modeling Joel Lang Institute for Language, Cognition and Computation School of Informatics, University of Edinburgh 10 Crichton Street, Edinburgh EH8 9AB, UK

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Source URL: www.aclweb.org

Language: English - Date: 2011-05-20 16:12:48
57Nomograms for Visualization of Naive Bayesian Classifier Martin Moˇzina1 , Janez Demˇsar1 , Michael Kattan2 , and Blaˇz Zupan1,3 1  3

Nomograms for Visualization of Naive Bayesian Classifier Martin Moˇzina1 , Janez Demˇsar1 , Michael Kattan2 , and Blaˇz Zupan1,3 1 3

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Source URL: chem-eng.utoronto.ca

Language: English - Date: 2010-12-19 08:17:49
58Machine Learning in Action Tatyana Goldberg () July 08, 2014  @

Machine Learning in Action Tatyana Goldberg () July 08, 2014 @

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Source URL: bioinformatics.org.au

Language: English - Date: 2014-07-24 18:55:58
59Text Classification and Naïve Bayes The	
  Task	
  of	
  Text	
   Classifica1on	
    Dan	
  Jurafsky	
  

Text Classification and Naïve Bayes The  Task  of  Text   Classifica1on   Dan  Jurafsky  

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Source URL: www.stanford.edu

Language: English - Date: 2014-07-07 21:30:03
60A Course in Machine Learning Hal Daumé III  7 | P ROBABILISTIC M ODELING

A Course in Machine Learning Hal Daumé III 7 | P ROBABILISTIC M ODELING

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Source URL: ciml.info

Language: English - Date: 2014-09-24 16:08:29