A comparative study of bandwidth choice in kernel density estimation for naive bayesian classification

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5476 LNAI, Issue , 2009, Pages 302-313

  Liu, Bin ^a   Yang, Ying ^a   Webb, Geoffrey I ^a   Boughton, Janice ^a  

^a MONASH UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

BANDWIDTH CHOICE; BANDWIDTH DISTRIBUTION; BANDWIDTH SELECTIONS; BENCHMARK DATASETS; CLASSIFICATION PERFORMANCE; COMPARATIVE STUDIES; DISCRETIZATION METHOD; DISTRIBUTION ESTIMATION; KERNEL DENSITY ESTIMATION; MACHINE-LEARNING; NAIVE BAYES; NAIVE BAYESIAN CLASSIFICATION; NON-PARAMETRIC;

BAYESIAN NETWORKS; DISCRETE EVENT SIMULATION; ESTIMATION; MINING;

BANDWIDTH;

EID: 67650686498     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-01307-2_29     Document Type: Conference Paper

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