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

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.

Authors

• Vladimir Vapnik
• Steven Golowich
• Alex Smola

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