Tackling the Poor Assumptions of Naive Bayes Text Classifiers

Proceedings, Twentieth International Conference on Machine Learning

Volumn 2, Issue , 2003, Pages 616-623

  Rennie, Jason D M ^a   Shih, Lawrence ^a   Teevan, Jaime ^a   Karger, David ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MULTINOMIAL MODELS; NAIVE BAYES CLASSIFIERS; SUPPORT VECTOR MACHINE (SVM);

ALGORITHMS; CLASSIFICATION (OF INFORMATION); HEURISTIC METHODS; MATHEMATICAL MODELS; PROBLEM SOLVING; TEXT PROCESSING; VECTORS;

ARTIFICIAL INTELLIGENCE;

EID: 1942484786     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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