Combined SVM-Based Feature Selection and Classification
Feature selection is an important combinatorial optimisation problem in the context of supervised pattern classification. This paper presents four novel continuous feature selection approaches directly minimising the classifier performance. In particular, we include linear and nonlinear Support Vect...
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| Published in: | Machine learning Vol. 61; no. 1-3; pp. 129 - 150 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Dordrecht
Springer Nature B.V
01.11.2005
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| Subjects: | |
| ISSN: | 0885-6125, 1573-0565 |
| Online Access: | Get full text |
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