Kernel methods and the exponential family
Stéphane Canu and Alex Smola
Neurocomputing pp. 1-11, 2006.

Abstract

The success of Support Vector Machine (SVM) gave rise to the development of a new class of theoretically elegant learning machines which use a central concept of kernels and the associated reproducing kernel Hilbert space (RKHS ). Exponential families, a standard tool in statistics, can be used to unify many existing machine learning algorithms based on kernels (such as SVM) and to invent novel ones quite e

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