From Regularization Operators to Support Vector Kernels
Alex J. Smola, Bernhard Schölkopf · 1997
We derive the correspondence between regularization operators used in Regularization Networks and Hilbert Schmidt Kernels appearing in Sup-port Vector Machines. More specifica1ly, we prove that the Green's Func-tions 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 condition-ally positive definite functions may be used as Support Vector kernels. 1