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Introduction to Statistical Learning Theory

by: Olivier Bousquet, Stéphane Boucheron, Gábor Lugosi
Advanced Lectures on Machine Learning In Advanced Lectures on Machine Learning (2004), pp. 169-207  Key: citeulike:1423736

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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.


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