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+ Mainly discusses the content of this book: it is a learning classifier and feature selection method, the key is to do both of the integration of research, will study the classification of the classifier model building process and feature selection of feature subset unified integration based on the genetic search process of machine learning framework, at the same time improve the prediction performance of classification algorithm and operation efficiency; Secondly, a learning classifier based on distribution estimation algorithm is introduced to improve the searching quality of rule space. This book can be used as a teaching material and reference book for big data and artificial intelligence majors.
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