Learning of Bayesian network based on MCMC algorithm
Bo Jiang · Journal of North China Electric Power University · 2004
For the given threshold, a new method of constructing the Bayesian network is proposed by computing the mutual information between two variables. The traditional Markov Chain Monte Carlo method for structural learning in graphical models MCMC algorithm is improved. Based on the improved algorithm, Markov Chain of the Bayesian network is got. The result of the experiment show that the Bayesian network learned by the improved method is similar to that learned by the old algorithm, and their accepted ratio is also very similar.