Structural learning of graphical models and its applications to traditional chinese medicine

Authors:
Ke Deng;Delin Liu;Shan Gao;Zhi Geng
Affiliations:
School of Mathematical Sciences, Peking University, Beijing, China;China Academy of Traditional Chinese Medicine, Beijing, China;Peking Union Medical College Hospital, Beijing, China;School of Mathematical Sciences, Peking University, Beijing, China
Venue:
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
Year:
2005

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Abstract

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.