Structure Learning Methods in Bayesian Network Application
Zhang Xiufan · Electronic Science and Technology · 2014
Bayesian network is the graphical model used to describe potential dependencies between uncertain variables. Structure learning is the core of Bayesian network learning. The effective learning methods and algorithms of structure learning are the foundation of constructing Bayesian network. In this paper,we summarize the present achievement on Bayesian network structure learning,with a thorough analysis of their complexity and application presented and some key aspects and main idea of the methods pointed out. The summary is helpful in selecting proper methods in practical applications.