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COMBINED ALGORITHM FOR THE ESSENTIAL GRAPH OF BAYESIAN NETWORK STRUCTURES
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作者 Li Binghan Liu Sanyang Li Zhanguo 《Journal of Electronics(China)》 2010年第6期822-829,共8页
Learning Bayesian network structure is one of the most important branches in Bayesian network. The most popular graphical representative of a Bayesian network structure is an essential graph. This paper shows a combin... Learning Bayesian network structure is one of the most important branches in Bayesian network. The most popular graphical representative of a Bayesian network structure is an essential graph. This paper shows a combined algorithm according to the three rules for finding the essential graph of a given directed acyclic graph. Moreover, the complexity and advantages of this combined algorithm over others are also discussed. The aim of this paper is to present the proof of the correctness of the combined algorithm. 展开更多
关键词 Bayesian networks Structure learning Equivalence class essential graph
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