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- W108287568 abstract "A weighted naive Bayes classifier using Renyi entropy is proposed. Such a weighted naive Bayes classifier has been studied so far, aiming at improving the prediction performance or at reducing the number of features. Among those studies, weighting with Shannon entropy has succeeded in improving the performance. However, the reasons of the success was not well revealed. In this paper, the original classifier is extended using Renyi entropy with parameter α. The classifier includes the regular naive Bayes classifier in one end α=0.0 and naive Bayes classifier weighted by the marginal Bayes errors in the other end α=∞. The optimal setting of α has been discussed analytically and experimentally." @default.
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- W108287568 date "2013-01-01" @default.
- W108287568 modified "2023-09-24" @default.
- W108287568 title "Weighted Naïve Bayes Classifiers by Renyi Entropy" @default.
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- W108287568 doi "https://doi.org/10.1007/978-3-642-41822-8_19" @default.
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