Shouta Sugahara

Learning Bayesian Network Classifiers to Minimize the Class Variable Parameters

This study proposes and evaluates a new Bayesian network classifier (BNC) having an I-map structure with the fewest class variable parameters among all structures for which the class variable has no parent. Moreover, a new learning algorithm to learn our proposed model is presented. The proposed met…