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Self-adaptive attribute weighting for Naive Bayes classification
Expert Systems With Applications, 2015Jia Wu, Shirui Pan, Xingquan Zhu
exaly
Traditional event models underlying naive Bayes classifiers assume probability distributions that are not appropriate for binary data generated by human behaviour. In this work, we develop a new event model, based on a somewhat forgotten distribution created by Kenneth Ted Wallenius in 1963. We show that it achieves superior performance using less data
Junque de Fortuny, Enric +2 more
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Junque de Fortuny, Enric +2 more
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Naive Bayes classifier – An ensemble procedure for recall and precision enrichment
Engineering Applications of Artificial IntelligenceOr Peretz, Michal Koren, Oded Koren
exaly