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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Détails bibliographiques
Auteurs principaux: Yu-Ching Lee, Jong-Shi Pang, JohnE. Mitchell
Format: article
Langue:EN
Publié: Elsevier 2015
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Accès en ligne:https://doaj.org/article/12eb93a85e024a6791ee2a350bf105c4
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