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...

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書目詳細資料
Main Authors: Madsen, Anders L., Jensen, Frank, Salmerón Cerdán, Antonio, Langseth, Helge, Nielsen, Thomas D.
格式: info:eu-repo/semantics/article
語言:English
出版: 2017
在線閱讀:http://hdl.handle.net/10835/4856

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