A parallel algorithm for Bayesian network structure learning from large data sets
Published in Knowledge-Based Systems • Jul 26, 2016
NobleIDNI0P73W56R75S03
Authors:,,
Anders L. Madsen
Frank Jensen
Antonio Salmerón
Abstract
This paper considers a parallel algorithm for Bayesian network structure learning from large data sets. The parallel algorithm is a variant of the well known PC algorithm. The PC algorithm is a constraint-based algorithm consisting of five steps where the first step is to perform a set of (condition...
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