Mercer's Theorem, Feature Maps, and Smoothing

We study Mercer's theorem and feature maps for several positive definite kernels that are widely used in practice. The smoothing properties of these kernels will also be explored.

• Type: Conference
• Year: 2006
• Where: COLT
• Authors: Ha Quang Minh, Partha Niyogi, Yuan Yao
• Keywords: COLT 2006, Machine Learning, Mercer's Theorem, Positive Definite Kernels