Title: Research on Integrated Model of Several Bayesian Network Classifiers
Abstract: A classification approach based on several Bayesian network classifiers integrated is presented.Bayesian network structure learning is implemented by combining immune genetic algorithm with information entropy restrained on adaptive function looking on expert knowledge as bacterin,and several Bayesian network structures satisfying the same sample data collection are gained.Then,it shows integrated model of several Bayesian network classifiers.Each Bayesian network structure is integrated together,and represents expert to classify and forecast class of the incomplete data in order to improve generalizing performance of the whole Bayesian network Classifier.Finally,integrating with software tool GeNIe,it gives an example to illustrate the rationality and validity of the approach.
Publication Year: 2008
Publication Date: 2008-01-01
Language: en
Type: article
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