PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

On Regularization Algorithms in Learning Theory
f. bauer, s. pereverzev and l. rosasco
journal of complexity 2006.

Abstract

we introduce and study a general class of linear regularization schemes and show that they give rise to consistent kernel methods

EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
Learning/Statistics & Optimisation
Theory & Algorithms
ID Code:2906
Deposited By:Lorenzo Rosasco
Deposited On:23 November 2006