TY - JOUR
T1 - Fractional Gaussian kernels
AU - Li, Kexue
AU - Peng, Jigen
AU - Gao, Jinghuai
PY - 2013/12
Y1 - 2013/12
N2 - 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.
AB - 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.
KW - fractional Gaussian kernel
KW - positive definiteness
UR - https://www.scopus.com/pages/publications/84887895716
U2 - 10.1080/10652469.2013.792081
DO - 10.1080/10652469.2013.792081
M3 - 文章
AN - SCOPUS:84887895716
SN - 1065-2469
VL - 24
SP - 964
EP - 969
JO - Integral Transforms and Special Functions
JF - Integral Transforms and Special Functions
IS - 12
ER -