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3 results (View BibTeX file of all listed publications)

2018

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Die kybernetische Revolution

Schölkopf, B.

15-Mar-2018, Süddeutsche Zeitung, 2018 (misc)

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2018

Schölkopf, B. Die kybernetische Revolution 15-Mar-2018, Süddeutsche Zeitung, 2018 (misc)

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2004

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Statistische Lerntheorie und Empirische Inferenz

Schölkopf, B.

Jahrbuch der Max-Planck-Gesellschaft, 2004, pages: 377-382, 2004 (misc)

Abstract
Statistical learning theory studies the process of inferring regularities from empirical data. The fundamental problem is what is called generalization: how it is possible to infer a law which will be valid for an infinite number of future observations, given only a finite amount of data? This problem hinges upon fundamental issues of statistics and science in general, such as the problems of complexity of explanations, a priori knowledge, and representation of data.

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2004

Schölkopf, B. Statistische Lerntheorie und Empirische Inferenz Jahrbuch der Max-Planck-Gesellschaft, 2004, pages: 377-382, 2004 (misc)

PDF Web [BibTex]