A regularized attribute weighting framework for naive bayes

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A regularized attribute weighting framework for naive bayes

The Bayesian classification framework has been widely used in many fields, but the covariance matrix is usually difficult to estimate reliably. To alleviate the problem, many naive Bayes (NB) approaches with good performance have been developed. However, the assumption of conditional independence be...

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Bibliographic Details
Main Authors:	Wang, Shihe, Ren, Jianfeng, Bai, Ruibin
Format:	Article
Language:	English
Published:	Institute of Electrical and Electronics Engineers Inc. 2020
Subjects:	Attribute weighting；classification；naive Bayes； regularization
Online Access:	https://eprints.nottingham.ac.uk/64311/

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