Research Article
A Bayesian Classifier Learning Algorithm Based on Optimization Model
Input: Data set ; Variable set = (, ,, ) ( is the class node and others are attribute | nodes). | For any pair of variable and contained in , calculate the dependence coefficient by | Definition 2; | Solve the mathematical programming and obtain the optimal solution ; | Build the classifier structure = (, ) by ; | For any variable , , if there is a subset , such that d-separates and | , then delete in , update as , or , adj()}; | Output: The built classifier = (, ). |
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