Statistical Learning Theory: Models, Concepts, and Results
Machine Learning
2008-10-28 v1 Statistics Theory
Statistics Theory
Abstract
Statistical learning theory provides the theoretical basis for many of today's machine learning algorithms. In this article we attempt to give a gentle, non-technical overview over the key ideas and insights of statistical learning theory. We target at a broad audience, not necessarily machine learning researchers. This paper can serve as a starting point for people who want to get an overview on the field before diving into technical details.
Cite
@article{arxiv.0810.4752,
title = {Statistical Learning Theory: Models, Concepts, and Results},
author = {Ulrike von Luxburg and Bernhard Schoelkopf},
journal= {arXiv preprint arXiv:0810.4752},
year = {2008}
}