Construction the Model of Bayesian Network Structure
Yi‐Yuan Tang · Journal of Chinese Computer Systems · 2008
A Bayesian network is a graphics model that encodes probabilistic relationships among variables of interest.But it is difficulty to determine the Bayesian network with missing data.In this paper,the KLBN algorithm of learning Bayesian network structure with missing data is presented.Experimental results show that the KLBN algorithm is better than the traditional Bayesian network structure learning algorithm with missing data in reliability.