Learning Moral Graphs in Construction of High-Dimensional Bayesian Networks for Mixed Data

Bayesian networks have been widely used in many scientific fields for describing the conditional independence relationships for a large set of random variables. This letter proposes a novel algorithm, the so-called -learning algorithm, for learning moral graphs for high-dimensional Bayesian networks...

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Bibliographic Details

Published in:	Neural computation Vol. 31; no. 6; p. 1183
Main Authors:	Xu, Suwa, Jia, Bochao, Liang, Faming
Format:	Journal Article
Language:	English
Published:	United States 01.06.2019
Subjects:	Algorithms Bayes Theorem Humans Neural Networks, Computer
ISSN:	1530-888X, 1530-888X
Online Access:	Get more information
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