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Naive Bayes classifier / Statistical classification / Bayesian inference / Graphical model / Feature selection / Random naive Bayes / Supervised learning / Statistics / Bayesian statistics / Bayesian network


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Document Date: 2007-02-02 17:30:00

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City

Dover / Cambridge / Montreal / Oakland / Redmond / Morelos / /

Company

World Scientific / Holden Day Inc. / Bayesian Networks / MIT Press / Norsys Software Corporation / Probabilistic Networks / Microsoft / AAAI Press / Building Bayesian Networks / Expert Systems / Learning Bayesian Networks / /

Continent

ASIA / /

Country

Canada / Mexico / /

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Facility

University of Sheffield / Building Bayesian Networks From Data / Royal Hallamshire Hospital / University of Illinois Press / Morgan Kauffman Pub / /

IndustryTerm

induction algorithm / data mining terminology / resultant network / well known algorithms / similar algorithms / data mining / /

Organization

University of Sheffield / Department of Pathology / MIT / Universidad Veracruzana / Royal Hallamshire Hospital in Sheffield / University of Illinois Press / Department of Psychology / /

Person

H. H. Ku / R. N. Varner / Dat Alar / John Wiley / S. Kullback / Morgan Kaufmann / Ramiro Garza-Domínguez / Nicandro Cruz-Ramírez / José Luis Jiménez-Andrade / /

Position

representative / /

ProvinceOrState

New York / Washington / /

PublishedMedium

Machine Learning / /

Technology

An algorithm / proposed algorithm / artificial intelligence / well known algorithms / data mining / machine learning / induction algorithm / /

URL

http /

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