Call for NIPS 2008 Kernel Learning Workshop Submissions
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A. J Smola and B. Schölkopf (1998)
On a Kernel–based Method for Pattern Recognition, Regression, Approximation and Operator Inversion
Algorithmica, 22:211–231.
Generalizes the SV approach to a wider range of cost functions, and establishes a link between regularization operators and SV kernels.
Technical Report 1064, GMD FIRST, April 1997