The connection between regularization operators and support vector kernels

doi:10.1016/S0893-6080(98)00032-X

The connection between regularization operators and support vector kernels

1998-06-01

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DOI：10.1016/S0893-6080(98)00032-X

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In this paper a correspondence is derived between regularization operators used in regularization networks and support vector kernels. We prove that the Green's Functions associated with regularization operators are suitable support vector kernels with equivalent regularization properties. Moreover, the paper provides an analysis of currently used support vector kernels in the view of regularization theory and corresponding operators associated with the classes of both polynomial kernels and translation invariant kernels. The latter are also analyzed on periodical domains. As a by-product we show that a large number of radial basis functions, namely conditionally positive definite functions, may be used as support vector kernels. (C) 1998 Elsevier Science Ltd. All rights reserved.

Keywords:

support vector machines

Mercer kernel

regularization networks

ridge regression

Green's Functions

conditionally positive

definite functions

polynomial kernels

radial basis functions

The connection between regularization operators and support vector kernels

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