Global resolution of the support vector machine regression parameters selection problem with LPCC
Support vector machine regression is a robust data fitting method to minimize the sum of deducted residuals of regression, and thus is less sensitive to changes of data near the regression hyperplane. Two design parameters, the insensitive tube size (εe) and the weight assigned to the regression err...
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| Auteurs principaux: | , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Elsevier
2015
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/12eb93a85e024a6791ee2a350bf105c4 |
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