Local Learning and Kernel Expansion
Ilya V. Narsky, Frank C. Porter · 2013
This chapter contains sections titled: From Input Variables to the Feature Space Regularization Making and Choosing Kernels Radial Basis Functions Support Vector Machines (SVM) Empirical Local Methods Kernel Methods: The Good, the Bad and the Curse of Dimensionality Exercises References