支持向量机理论及算法研究综述

Overview of support vector machine analysis and algorithm

介绍了SVM的理论基础和它的多种主要算法及这些算法的利弊与发展现状,并介绍了SVM在现实生活中的应用原理及应用现状。最后分析了SVM在发展中的不足之处,指出了其研究方向及前景,并提出在分布式支持向量机这个方向上可以进行更深层次的研究。

This paper introduced the theoretical basis of support vector machine, in addition, it described some algorithms about SVM and analysed their advantages and disadvantages and development status. Then it introduced the application principle of SVM in the real life and its application status. Finally, it analysed the deficiency in the development of SVM and pointed out the research direction and prospects, and it put forward distributed support vector machine which as a direction could be make a deeper research.