关键词: Bayesian网络 证据丢失 EM（η）算法 学习率

Abstract: To Infer in a Bayesian network, parameter learning for a given network node is obviously necessary. But during the course of parameter learning, evidence loss would happen from time to time and therefore slow down the parameter convergence, influence the

Key words: Bayesian network, Evidence loss, EM（η） algorithm, Learning rate