An efficient model selection for linear discriminant function-based recursive feature elimination.
Model selection is an important issue in support vector machine-based recursive feature elimination (SVM-RFE). However, performing model selection on a linear SVM-RFE is difficult because the generalization error of SVM-RFE is hard to estimate. This paper proposes an approximation method to evaluate...
| Publicado en: | Journal of Biomedical Informatics Vol. 129 |
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| Autores principales: | , , |
| Formato: | research Journal Article |
| Publicado: |
Academic Press Inc.
May2022
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| Acceso en línea: | Ver este registro en EBSCOhost |