Related links
The SVM method
Support Vector Machines and Statistical Learning Theory (Vapnik)
www.kernel-machines.org
Support Vector Machines and Kernel based methods (Schölkopf & Smola)
Reproducing kernel Hilbert spaces
Statistical model building and learning with Splines (Wahba)
MIT CBCL
Regularization networks (Poggio)
Gaussian Processes
Data modeling using Gaussian Process priors over functions for regression and classification (MacKay, Williams)
Kernel Fisher discriminants
SMO for LS-SVMs
www.support-vector.net
Support Vector Machines and kernel based methods (Cristianini)
NATO-ASI LTP2002
NATO Advanced Study Institute on Learning Theory and Practice
July 8-19 2002 (Leuven Belgium)
Mathematical foundations of learning theory
(Smale)