Support Vector Machines in High Energy Physics - Physics > Data Analysis, Statistics and ProbabilityReport as inadecuate




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Abstract: This lecture will introduce the Support Vector algorithms for classificationand regression. They are an application of the so called kernel trick, whichallows the extension of a certain class of linear algorithms to the non linearcase. The kernel trick will be introduced and in the context of structural riskminimization, large margin algorithms for classification and regression will bepresented. Current applications in high energy physics will be discussed.



Author: Anselm Vossen

Source: https://arxiv.org/



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