Parallelization of the PC Algorithm

Parallelization of the PC Algorithm

This paper describes a parallel version of the PC algorithm for learning the structure of a Bayesian network from data. The PC algorithm is a constraint-based algorithm consisting of fi ve steps where the first step is to perform a set of (conditional) independence tests while the remaining four...

書誌詳細
主要な著者:	Madsen, Anders L., Jensen, Frank, Salmerón Cerdán, Antonio, Langseth, Helge, Nielsen, Thomas D.
フォーマット:	info:eu-repo/semantics/article
言語:	English
出版事項:	2017
オンライン･アクセス:	http://hdl.handle.net/10835/4856

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