A Parallel Genetic Algorithm Based Feature Selection and Parameter Optimization for Support Vector Machine

A Parallel Genetic Algorithm Based Feature Selection and Parameter Optimization for Support Vector Machine

The extensive applications of support vector machines (SVMs) require efficient method of constructing a SVM classifier with high classification ability. The performance of SVM crucially depends on whether optimal feature subset and parameter of SVM can be efficiently obtained. In this paper, a coars...

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Bibliographic Details
Main Authors:	Zhi Chen, Tao Lin, Ningjiu Tang, Xin Xia
Format:	Article
Language:	English
Published:	Hindawi Limited 2016-01-01
Series:	Scientific Programming
Online Access:	http://dx.doi.org/10.1155/2016/2739621

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