Study on dependency analysis method for learning dynamic Bayesian network structure
Wang Hu · Computer Engineering and Applications Journal · 2011
At present,the methods of learning Dynamic Bayesian Network(DBN) structure have low efficiency and reliability.Learning dynamic Bayesian network structure is done based on the basic dependency relationship between variables and dependency analysis method.A sketch of dependency relationship between variables is built.Then the redundant edges can be got rid of by the conditional independent test.And the edges are oriented through the collision identify and the relative conditional prediction capability.Therefore,the dynamic Bayesian network structure can be established.This method has high efficiency and reliability.