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Statistical learning theory provides the theoretical basis for many oftoday's machine learning algorithms. In this article we attempt to give agentle, non-technical overview over the key ideas and insights of statisticallearning theory. We target at a broad audience, not necessarily machinelearning researchers. This paper can serve as a starting point for people whowant to get an overview on the field before diving into technical details.

Statistical Learning Theory: Models, Concepts, and Results