摘要
支持向量机是一种基于统计学习理论和对偶理论的分类和函数估计方法,其推广能力强和全局最优的特点引起了学者的广泛关注。本论文对目前所提出的各类改进的支持向量机进行了初步的研究和分析。
Support vector machine is a method for classification and estimation based on statistical learning theory and dual theory. It draws many scholars＇ attention because of its strong generalization and global optimization. In this paper, some kinds of improved support vector machines presented until now are initially studied and analyzed.
出处
《攀枝花学院学报》
2006年第5期102-105,共4页
Journal of Panzhihua University
关键词
支持向量机
改进的支持向量机
加权的支持向量机
support vector machine, improved support vector machine, weighted support vector machine
