Visualising kernel spaces

Abstract

Classification in kernel machines consists of a nonlinear transformation of input data into a feature space, followed by a separation with a linear hyperplane. This transformation is expressed through a kernel function, which is capable of computing similarities between two data points in an abstract geometric space for which individual point vectors are… (More)

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