Statistical Learning Theory: Models, Concepts, and Results
von Luxburg, Ulrike, Schoelkopf, Bernhard
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.
Oct-27-2008
- Country:
- Europe > Germany
- Baden-Württemberg > Tübingen Region > Tübingen (0.14)
- North America > United States
- Massachusetts > Middlesex County > Cambridge (0.14)
- Europe > Germany
- Genre:
- Research Report (0.63)
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