PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Statistical Learning Theory
Olivier Bousquet, Stephane Boucheron and Gábor Lugosi
In: Machine Learning Summer School 2003} lecture notes artificial intelligence , 3176 . (2004) Springer-Verlag , Berlin , pp. 208-240. ISBN 3-540-23122-6

Abstract

The goal of statistical learning theory is to study, in a statistical framework, the properties of learning algorithms. In particular, most results take the form of so-called error bounds. This tutorial introduces the techniques that are used to obtain such results.

EPrint Type:Book Section
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
Learning/Statistics & Optimisation
Theory & Algorithms
ID Code:560
Deposited By:Stephane Boucheron
Deposited On:25 December 2004