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Abstract:
We derive the correspondence between regularization operators
used in Regularization Networks and Hilbert Schmidt Kernels
appearing in Support Vector Machines. More specifically, we prove
that the Green's Functions associated with regularization operators
are suitable Support Vector Kernels with equivalent regularization
properties. 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.
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