Multi-group Support Vector Machines with measurement costs: a biobjective approach
Support Vector Machine has shown to have good performance in many practical classification settings. In this paper we propose, for multi-group classification, a biobjective optimization model in which we consider not only the generalization ability (modeled through the margin maximization), but also...
| Main Authors: | , , |
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| Format: | Journal article |
| Published: |
2008
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