An approach for kernel selection based on data distribution

被引：0

作者：

Wang, Wenjian ^{[1
]}

Guo, Jinling ^{[2
]}

Men, Changqian ^{[1
]}

机构：

[1] Shanxi Univ, Inst Syst Engn, Fac Comp & Informat Technol, Taiyuan 030006, Peoples R China

[2] Univ Taiyuan, Dept Informat & Engn Business, Taiyuan, Peoples R China

来源：

ROUGH SETS AND KNOWLEDGE TECHNOLOGY | 2008年 / 5009卷

基金：

中国国家自然科学基金;

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a data based kernel selection approach, which utilizes the geometry distribution of data. Once the approximate distribution can be confirmed as a special one like circle, cirque, sphere cylinder, et al, some known kernel functions corresponding to the special distribution can then be used. Four datasets are used to verify the presented approach, and simulation results demonstrate the rationality and effectiveness of the presented approach.

引用

下载

页码：596 / +

页数：3

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