Support Vector Machines in High Energy Physics

This lecture will introduce the Support Vector algorithms for classification and regression. They are an application of the so called kernel trick, which allows the extension of a certain class of linear algorithms to the non linear case. The kernel trick will be introduced and in the context of str...

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Bibliographic Details
Published in:arXiv.org 2008-03
Main Author: Vossen, Anselm
Format: Article
Language:English
Subjects:
Algorithms
Classification
High energy physics
Kernels
Support vector machines
Online Access:Get full text
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Summary:This lecture will introduce the Support Vector algorithms for classification and regression. They are an application of the so called kernel trick, which allows the extension of a certain class of linear algorithms to the non linear case. The kernel trick will be introduced and in the context of structural risk minimization, large margin algorithms for classification and regression will be presented. Current applications in high energy physics will be discussed.
ISSN:2331-8422