Learning Bayesian network structure with continuous variables based on local optimization
Jianfei Zhang, Hui Wang · Journal of Northeast Normal University · 2006
Main problems are presented in learning Bayesian network structure with continuous variables.To solve these problems,a new method of learning Bayesian network structure with continuous variables based on local optimization is developed.In this method,the Bayesian network structure with continuous variables is set up by constructing local optimization regression models,conditional combination of these models and dealing with loop.This method can avoid complicated structure scoring and structure search.At the same time,the case of leading to miss information and false dependency can be got over.