1. Learning with Kernels, Support Vector Machines, Regularization, Optimization and Beyond;Scholkopf,2002
2. The Nature of Statistical Learning Theory;Vapnik,1995
3. Regularization theory and neural networks architectures;Girosi;Neural Computation,1995
4. Nonlinear component analysis as a kernel eigenvalue problem;Scholkopf;Neural Computation,1998
5. Kernel Adaptive Filtering: A Comprehensive Introduction;Liu,2010