Nouveau chat
Historique de recherche
Recherche académiqueRecherche d'articlesBibliothèqueDiscussions récentes
Support Vector Regression Machines
Support Vector Regression Machines
H. Drucker,C. Burges,2 Auteurs,V. Vapnik
1996 · DBLP: conf/nips/DruckerBKSV96
Neural Information Processing Systems · 5,299 citations
TLDR
This work compares support vector regression (SVR) with a committee regression technique (bagging) based on regression trees and ridge regression done in feature space and expects that SVR will have advantages in high dimensionality space because SVR optimization does not depend on the dimensionality of the input space.
