Abstract
Kernel methods have been popular in machine learning. The Gaussian kernel is a good choice as a basis function. In this paper, a new kernel, the fractional Gaussian kernel, is presented and its positive definiteness is verified.
| Original language | English |
|---|---|
| Pages (from-to) | 964-969 |
| Number of pages | 6 |
| Journal | Integral Transforms and Special Functions |
| Volume | 24 |
| Issue number | 12 |
| DOIs | |
| State | Published - Dec 2013 |
Keywords
- fractional Gaussian kernel
- positive definiteness
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