A DC programming approach for feature selection in the Minimax Probability Machine
This paper presents a new feature selection framework based on the -norm, in which data are summarized by their moments of the class conditional densities. However, discontinuity of the -norm makes it difficult to find the optimal solution. We apply a proper approximation of the -norm and a bound on...
| Published in: | International Journal of Computational Intelligence Systems |
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| Main Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
Springer
2014-01-01
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| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/25868468.pdf |