A 'non-parametric' version of the naive Bayes classifier

Knowledge-Based Systems

Volumn 24, Issue 6, 2011, Pages 775-784

  Soria, Daniele ^a   Garibaldi, Jonathan M ^a   Ambrogi, Federico ^b   Biganzoli, Elia M ^b   Ellis, Ian O ^a  

^a UNIVERSITY OF NOTTINGHAM   (United Kingdom)

^b UNIVERSITY OF MILAN   (Italy)

Author keywords

Breast cancer; Logistic regression; Naive Bayes; Supervised learning; UCI data sets

Indexed keywords

ALTERNATIVE METHODS; BREAST CANCER; BREAST CANCER DATA; DATA SETS; LOGISTIC REGRESSION; MACHINE-LEARNING; MULTINOMIAL LOGISTIC REGRESSION; NAIVE BAYES; NAIVE BAYES CLASSIFIERS; NON-NORMAL DISTRIBUTION; NON-PARAMETRIC; NOVEL ALGORITHM; STANDARD ALGORITHMS;

ALGORITHMS; DISEASES; REGRESSION ANALYSIS;

NORMAL DISTRIBUTION;

EID: 79957522106     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2011.02.014     Document Type: Article

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