计算机工程与应用2001，Vol.27Issue(1)：58-61,4.
支持向量机研究
Research of Support Vector Machines
摘要
Abstract
Support Vector Machines are a kind of novel machine learning methods,which have become the hotspot of machine learning because of their excellent learning performance.In this paper,linear and nonlinear SVMs are introduced based on the notion of optimal margin hyperplane,several popular training algorithms are presented,and some limitations and future research issues are also discussed.关键词
支持向量机/模式识别/机器学习/统计学习理论分类
信息技术与安全科学引用本文复制引用
崔伟东,周志华,李星..支持向量机研究[J].计算机工程与应用,2001,27(1):58-61,4.
