Inductive Regularized Learning of Kernel Functions

  • Published 2010

Abstract

In this paper we consider the fundamental problem of semi-supervised kernel function learning. We first propose a general regularized framework for learning a kernel matrix, and then demonstrate an equivalence between our proposed kernel matrix learning framework and a general linear transformation learning problem. Our result shows that the learned kernel… (More)

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