摘要
传统的支持向量机是基于两类问题提出的,如何将其有效的推广至多类问题仍是一个有待研究的问题。本文中作者致力于对现有的几种较有成效的多类支持向量机做一介绍,并比较其优劣,以期对研究者以后的研究能有所启发。
Traditional Support Vector Machines(SVM) were originally designed for binary classification. How to effectively extend it for multi - class classification is still an on - going research issue. This paper will typically introduce several existing multi - class classifier and compare them advantage and disadvantage. The author hopes that this article can give investigators some illumination in their present - day investigation.
出处
《计算技术与自动化》
2005年第4期61-63,共3页
Computing Technology and Automation
基金
陕西省自然科学研究项目(2004F36)