Abstract:In SVMs community, the learning results are always a combination of the selected functions. SVMs have two mainly regularization models to find the combination coefficients. The most popular model with m input samples is norm-regularized the classification function in a reproducing kernel Hilbert space(RKHS), and it is converted to an optimization problem in R m by duality or representer theorem. Another important model is generalized support vector machine(GSVM), in which the coefficients of the hypothesis is … Show more
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