Style Regularized Least Squares Support Vector Machine Based on Multiple Kernel Learning

Style Regularized Least Squares Support Vector Machine Based on Multiple Kernel Learning

Though current multiple kernel learning algorithms integrate the abilities of different kernel functions on the representation of the physical features of data, they do not make full use of the style information existing in the stylistic dataset. Therefore, a style regularized least squares support...

Full description

Bibliographic Details
Main Author: SHEN Hao, WANG Shitong
Format: Article
Language:zho
Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2020-09-01
Series:Jisuanji kexue yu tansuo
Subjects:
least squares support vector machines (lssvm)
multiple kernel learning
stylistic data
style information
Online Access:http://fcst.ceaj.org/CN/abstract/abstract2358.shtml

Internet

http://fcst.ceaj.org/CN/abstract/abstract2358.shtml

Similar Items