Bayesian classifier

Results: 226



#Item
71Research Dispatch, JulyData mining researchers use innovative techniques to build robust classifier Researcher discovers that a combination of adversarial learning and sparse modelling techniques improves the perf

Research Dispatch, JulyData mining researchers use innovative techniques to build robust classifier Researcher discovers that a combination of adversarial learning and sparse modelling techniques improves the perf

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Source URL: www.cmcrc.com

Language: English - Date: 2013-07-10 02:18:32
72Using Asymmetric Distributions to Improve Text Classifier Probability Estimates Paul N. Bennett Computer Science Dept. Carnegie Mellon University

Using Asymmetric Distributions to Improve Text Classifier Probability Estimates Paul N. Bennett Computer Science Dept. Carnegie Mellon University

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Source URL: www.cs.cmu.edu

Language: English - Date: 2003-05-09 22:52:37
73Machine Learning, , 1–37 () c Kluwer Academic Publishers, Boston. Manufactured in The Netherlands. Naive Bayesian Classification of Structured Data

Machine Learning, , 1–37 () c Kluwer Academic Publishers, Boston. Manufactured in The Netherlands. Naive Bayesian Classification of Structured Data

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Source URL: www.cs.bris.ac.uk

Language: English - Date: 2004-05-13 06:06:50
74Efficient probabilistic models for inference and learning Individual Grant Review Report EPSRC grant GR/N07394 Peter A. Flach Department of Computer Science, University of Bristol

Efficient probabilistic models for inference and learning Individual Grant Review Report EPSRC grant GR/N07394 Peter A. Flach Department of Computer Science, University of Bristol

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Source URL: www.cs.bris.ac.uk

Language: English - Date: 2014-03-11 07:10:48
75Building Reliable Metaclassifiers for Text Learning Paul N. Bennett May 2006 CMU-CS

Building Reliable Metaclassifiers for Text Learning Paul N. Bennett May 2006 CMU-CS

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Source URL: reports-archive.adm.cs.cmu.edu

Language: English - Date: 2006-05-18 19:34:23
76Assessing the Performance of Macromolecular Sequence Classifiers Cornelia Caragea, Jivko Sinapov, Vasant Honavar Drena Dobbs

Assessing the Performance of Macromolecular Sequence Classifiers Cornelia Caragea, Jivko Sinapov, Vasant Honavar Drena Dobbs

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Source URL: www.cs.iastate.edu

Language: English - Date: 2007-09-25 17:18:34
77Microsoft Word - TRIPPER_updated.doc

Microsoft Word - TRIPPER_updated.doc

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Source URL: www.cs.iastate.edu

Language: English - Date: 2006-01-26 18:36:42
78RNBL-MN: A Recursive Naive Bayes Learner for Sequence Classification? Dae-Ki Kang, Adrian Silvescu, and Vasant Honavar Artificial Intelligence Research Laboratory Department of Computer Science Iowa State University

RNBL-MN: A Recursive Naive Bayes Learner for Sequence Classification? Dae-Ki Kang, Adrian Silvescu, and Vasant Honavar Artificial Intelligence Research Laboratory Department of Computer Science Iowa State University

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Source URL: www.cs.iastate.edu

Language: English - Date: 2006-01-11 14:05:00
79Generation of Attribute Value Taxonomies from Data for Data-Driven Construction of Accurate and Compact Classifiers Dae-Ki Kang, Adrian Silvescu, Jun Zhang, and Vasant Honavar Artificial Intelligence Research Laboratory

Generation of Attribute Value Taxonomies from Data for Data-Driven Construction of Accurate and Compact Classifiers Dae-Ki Kang, Adrian Silvescu, Jun Zhang, and Vasant Honavar Artificial Intelligence Research Laboratory

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Source URL: www.cs.iastate.edu

Language: English - Date: 2005-10-30 21:55:57
802009 21st IEEE International Conference on Tools with Artificial Intelligence  Learning Link-Based Classifiers from Ontology-Extended Textual Data Cornelia Caragea Computer Science Department Iowa State University

2009 21st IEEE International Conference on Tools with Artificial Intelligence Learning Link-Based Classifiers from Ontology-Extended Textual Data Cornelia Caragea Computer Science Department Iowa State University

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Source URL: www.cs.iastate.edu

Language: English - Date: 2010-03-12 18:41:15