Further properties of Gaussian Reproducing Kernel Hilbert Spaces
Machine Learning
2012-10-24 v1 Functional Analysis
Abstract
We generalize the orthonormal basis for the Gaussian RKHS described in \cite{MinhGaussian2010} to an infinite, continuously parametrized, family of orthonormal bases, along with some implications. The proofs are direct generalizations of those in \cite{MinhGaussian2010}.
Cite
@article{arxiv.1210.6170,
title = {Further properties of Gaussian Reproducing Kernel Hilbert Spaces},
author = {Minh Ha Quang},
journal= {arXiv preprint arXiv:1210.6170},
year = {2012}
}
Comments
5 pages