Abstract
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. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
APA
Minh, H. Q., Niyogi, P., & Yao, Y. (2006). Mercer’s theorem, feature maps, and smoothing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4005 LNAI, pp. 154–168). Springer Verlag. https://doi.org/10.1007/11776420_14
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
Already have an account? Sign in
Sign up for free