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)