Support Vector Method for Function Approximation, Regression Estimation and Signal Processing

Vladimir Vapnik, Steven E. Golowich, Alexander J. Smola

Abstract: The Support Vector (SV) method was recently proposed for es(cid:173) timating regressions, constructing multidimensional splines, and solving linear operator equations [Vapnik, 1995]. In this presenta(cid:173) tion we report results of applying the SV method to these problems.