Efficient Heuristics for Structure Learning of <i>k</i>-Dependence Bayesian Classifier

Efficient Heuristics for Structure Learning of <i>k</i>-Dependence Bayesian Classifier

The rapid growth in data makes the quest for highly scalable learners a popular one. To achieve the trade-off between structure complexity and classification accuracy, the <i>k</i>-dependence Bayesian classifier (KDB) allows to represent different number of interdependencies for differen...

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Bibliographic Details
Main Authors:	Yang Liu, Limin Wang, Minghui Sun
Format:	Article
Language:	English
Published:	MDPI AG 2018-11-01
Series:	Entropy
Subjects:	<i>k</i>-dependence Bayesian classifier minimal-redundancy-maximal-relevance analysis discriminative model selection
Online Access:	https://www.mdpi.com/1099-4300/20/12/897

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