Optimizing the Topology of Bayesian Network Classifiers by Applying Conditional Entropy to Mine Causal Relationships Between Attributes

Optimizing the Topology of Bayesian Network Classifiers by Applying Conditional Entropy to Mine Causal Relationships Between Attributes

Due to the excellent classification performance and expressivity, the study of Bayesian network classifiers (BNCs) has attracted great attention ever since the success of Naive Bayes (NB). Information theory has established mathematical basis for the rapid development of BNC. In this paper we propos...

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Bibliographic Details
Main Authors: Limin Wang, Gaojie Wang, Zhiyi Duan, Hua Lou, Minghui Sun
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Bayesian network classifier
conditional entropy
causal relationships
Online Access:https://ieeexplore.ieee.org/document/8832172/

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