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

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 人工智能与机器学习（杨雪冰）-技术团队

	Improved heuristic equivalent search algorithm based on Maximal Information Coefficient for Bayesian Network Structure Learning
	Zhang, Yinghua; Zhang, Wensheng; Xie, Yuan
发表期刊	NEUROCOMPUTING
	2013-10-06
卷号	117 页码:186-195
文章类型	Article
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.
关键词	Bayesian Network Structure Learning Maximal Information Coefficient Heuristic Search
WOS标题词	Science & Technology ; Technology
关键词[WOS]	PROBABILISTIC NETWORKS ; BELIEF NETWORKS ; DIAGNOSIS ; SYSTEM
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000321408200020
引用统计	被引频次：31[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/40884
专题	多模态人工智能系统全国重点实验室_人工智能与机器学习（杨雪冰）-技术团队
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.