A Short Introduction to Learning with Kernels
Identifieur interne : 001675 ( Main/Exploration ); précédent : 001674; suivant : 001676A Short Introduction to Learning with Kernels
Auteurs : Bernhard Schölkopf [Allemagne] ; J. Smola [Australie]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2003.
Abstract
Abstract: We briefly describe the main ideas of statistical learning theory, support vector machines, and kernel feature spaces. This includes a derivation of the support vector optimization problem for classification and regression, the v-trick, various kernels and an overview over applications of kernel methods.
Url:
DOI: 10.1007/3-540-36434-X_2
Affiliations:
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