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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2016-01-01
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| Series: | Scientific Programming |
| Online Access: | http://dx.doi.org/10.1155/2016/2739621 |