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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Vydané v:	Neural computation Ročník 31; číslo 6; s. 1183
Hlavní autori:	Xu, Suwa, Jia, Bochao, Liang, Faming
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 01.06.2019
Predmet:	Algorithms Bayes Theorem Humans Neural Networks, Computer
ISSN:	1530-888X, 1530-888X
On-line prístup:	Zistit podrobnosti o prístupe
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