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Kernel methods and the exponential family

Canu, Stephane; Smola, Alexander


The success of support vector machine (SVM) has given 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 effortlessly. A new derivation of the novelty detection algorithm based on the one...[Show more]

CollectionsANU Research Publications
Date published: 2006
Type: Journal article
Source: Neurocomputing
DOI: 10.1016/j.neucom.2005.12.009


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