A General Formulation for Support Vector Machines


In this paper, we derive a general formulation of support vector machines for classification and regression respectively. Le loss function is proposed as a patch of L1 and L2 soft margin loss functions for classifier, while soft insensitive loss function is introduced as the generalization of popular loss functions for regression. The introduction of the… (More)


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