Improved heuristic equivalent search algorithm based on Maximal Information Coefficient for Bayesian Network Structure Learning

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	Improved heuristic equivalent search algorithm based on Maximal Information Coefficient for Bayesian Network Structure Learning
	Zhang, Yinghua; Zhang, Wensheng; Xie, Yuan
刊名	NEUROCOMPUTING
	2013-10-06
卷号	117 页码:186-195
关键词	Bayesian network Structure learning Maximal Information Coefficient Heuristic Search
英文摘要	Greedy Equivalent Search (GES) is an effective algorithm for Bayesian network structure learning problem, which searches in the space of graph equivalence classes. However, original GES which takes greedy strategy into account may easily fall into local optimization trap because of the empty initial structure. In this paper, an improved GES method is proposed. It firstly designs a draft of the real network, based on conditional independence tests and Maximum Information Coefficient, which helps in finding more correct dependent relationship between variables. To ensure correctness, this draft is used as a seed structure of original GES algorithm. Numerical experiments on four standard networks show that SCo (the value of the BDeu score) and NEtoGS (the number of graph structure, which is equivalent to the Gold Standard network) have big improvement. Also, the total of learning time is greatly reduced. Therefore, our improved method can relatively quickly determine the structure with highest degree of data matching. (C) 2013 Elsevier B.V. All rights reserved.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Computer Science, Artificial Intelligence
研究领域[WOS]	Computer Science
关键词[WOS]	PROBABILISTIC NETWORKS ; BELIEF NETWORKS ; DIAGNOSIS ; SYSTEM
收录类别	SCI
语种	英语
WOS记录号	WOS:000321408200020
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/2785]
专题	数字内容技术与服务研究中心_听觉模型与认知计算
作者单位	Chinese Acad Sci, Inst Automat, State Key Lab Intelligent Control & Management Co, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Yinghua,Zhang, Wensheng,Xie, Yuan. Improved heuristic equivalent search algorithm based on Maximal Information Coefficient for Bayesian Network Structure Learning[J]. NEUROCOMPUTING,2013,117:186-195.
APA	Zhang, Yinghua,Zhang, Wensheng,&Xie, Yuan.(2013).Improved heuristic equivalent search algorithm based on Maximal Information Coefficient for Bayesian Network Structure Learning.NEUROCOMPUTING,117,186-195.
MLA	Zhang, Yinghua,et al."Improved heuristic equivalent search algorithm based on Maximal Information Coefficient for Bayesian Network Structure Learning".NEUROCOMPUTING 117(2013):186-195.