Statistical learning and kernel methods in bioinformatics

被引：0

作者：

Schölkopf, B ^{[1
]}

Guyon, I ^{[1
]}

Weston, J ^{[1
]}

机构：

[1] Biowulf Technol, New York, NY USA

来源：

ARTIFICIAL INTELLIGENCE AND HEURISTIC METHODS IN BIOINFORMATICS | 2003年 / 183卷

关键词：

D O I：

暂无

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

We briefly describe the main ideas of statistical learning theory, support vector machines, and kernel feature spaces. In addition, we present an overview of applications of kernel methods in bioinformatics.(1)

引用

页码：1 / 21

页数：21

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