Support Vector Method for Function Approximation, Regression Estimation and Signal Processing
Vapnik, Vladimir, Golowich, Steven E., Smola, Alex J.
–Neural Information Processing Systems
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.
Neural Information Processing Systems
Dec-31-1997