Structural Learning of Graphical Models and Its Applications to Traditional Chinese Medicine
Structural Learning of Graphical Models and Its Applications to Traditional Chinese Medicine
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DOI：
10.1007/11540007_45
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发表时间：
2005-08
期刊：
影响因子：
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通讯作者：
Ke Deng;Delin Liu;Shan Gao;Z. Geng
中科院分区：
文献类型：
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作者：
Ke Deng;Delin Liu;Shan Gao;Z. Geng
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.
