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	Structural learning of graphical models and its applications to traditional Chinese medicine
	Deng, K ; Liu, DL ; Gao, S ; Geng, Z
	2005
英文摘要	Bayesian networks and undirected graphical models are often used to cope with uncertainty for complex systems with a large number of variables. They can be applied to discover causal relationships and associations between variables. In this paper, we present heuristic algorithms for structural learning of undirected graphical models from observed data. These algorithms are applied to traditional Chinese medicine.; Computer Science, Artificial Intelligence; Computer Science, Information Systems; SCI(E); CPCI-S(ISTP); 0
语种	英语
出处	SCI
内容类型	其他
源URL	[http://hdl.handle.net/20.500.11897/315011]
专题	数学科学学院
推荐引用方式 GB/T 7714	Deng, K,Liu, DL,Gao, S,et al. Structural learning of graphical models and its applications to traditional Chinese medicine. 2005-01-01.

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