[1]罗雪晖,李霞,张基宏.支持向量机及其应用研究[J].深圳大学学报理工版,2003,20(3):40-46.
　LUO Xue-hui,LI Xia and ZHANG Ji-hong.Introduction to Support Vector Machine and Its Applications[J].Journal of Shenzhen University Science and Engineering,2003,20(3):40-46.
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支持向量机及其应用研究()
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《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第20卷
期数:
2003年3期
页码:
40-46
栏目:
电子与信息工程
出版日期:
2003-09-30

文章信息/Info

Title:
Introduction to Support Vector Machine and Its Applications
文章编号:
1000-2618(2003)03-0040-07
作者:
罗雪晖; 李霞; 张基宏
深圳大学信息工程学院, 深圳518060
Author(s):
LUO Xue-hui;  LI Xia and ZHANG Ji-hong
College of Information Engineer Shenzhen University, Shenzhen 518060, P .R .China
关键词:
机器学习; 统计学习理论; 支持向量机; 模式识别
Keywords:
machine learning;  statistical learning theory;  support vector machine;  pattern recognition
分类号:
TN 911
文献标志码:
A
摘要:
支持向量机是一种新型机器学习方法，因其出色的学习性能，已成为当前国际机器学习界的研究热点.作者介绍了支持向量机的理论依据及其研究进展.
Abstract:
Support vector machine (SVM) , a novel machine learning method, has become a hotspot because of its excellent learning performance. This paper introduces the fundamental theory underlying the SVM, its current state-of-the-art as well as its applications in pattern recognition.

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更新日期/Last Update: 2015-11-13