Robust Structure Learning of Bayesian Network by Identifying Significant Dependencies

Robust Structure Learning of Bayesian Network by Identifying Significant Dependencies

Bayesian networks have long been a popular medium for graphically representing the probabilistic dependencies which exist in a domain. State-of-the-art tree-augmented naive Bayes (TAN) builds maximum weighted spanning tree to represent 1-dependence relationships between attributes. In this paper, we...

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Bibliographic Details
Main Authors: Yuguang Long, Limin Wang, Zhiyi Duan, Minghui Sun
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Bayesian network
heuristic search
conditional dependence filtering
Online Access:https://ieeexplore.ieee.org/document/8806023/

Internet

https://ieeexplore.ieee.org/document/8806023/

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