The Support Vector (SV) method was recently proposed for estimating regressions, constructing multidimensional splines, and solving linear operator equations [Vapnik, 1995]. In this presentation we report results of applying the SV method to these problems.
['Vladimir Vapnik', 'Steven E. Golowich', 'Alexander J. Smola']
Support Vector Method for Function Approximation, Regression Estimation and Signal Processing