Microcanonical Annealing and Threshold Accepting for Parameter Determination and Feature Selection of Support Vector Machines
Support vector machine (SVM) is a popular classification technique with many diverse applications. Parameter determination and feature selection significantly influences the classification accuracy rate and the SVM model quality. This paper proposes two novel approaches based on: Microcanonical An...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Zagreb Faculty of Electrical Engineering and Computing
2016-12-01
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| Series: | Journal of Computing and Information Technology |
| Subjects: | |
| Online Access: | http://cit.fer.hr/index.php/CIT/article/view/3342/2111 |