摘要
支持向量机(support vector machine,SVM)是20世纪90年代发展起来的一种新型机器学习方法,是在统计学习理论基础上发展起来的一种新的数据挖掘方法,已广泛应用于模式识别与回归分析。并已成为国际机器学习界的研究热点。本文主要讨论其基本原理与SVM训练算法。
Support vector machine is one new machine learning method which developped in 1990s and it is a novel data mining technique based on statistical learning theory and has been used in pattern classification and regression estimation widely. It has become the focus in international machine learning research. This article mainly discusses its basic principle and the SVM training algorithm.
关键词
支持向量机
机器学习
分类
support vector machine
machine leaming
class
