摘要
SVM是一种新型机器学习方法。对SVM训练算法的最新研究成果进行综述,并且介绍目前研究的新进展,总结SVM在模式识别中的应用现状以及对其发展趋势进行展望。
Support Vector Machines is a new type machine learning method in recent years. Reviews the latest research results on the training algo- rithms of SVM, and introduces new progress of the present study, summarizes the SVM application status in pattern recognition as well as the prospects for its development trend.
出处
《现代计算机》
2015年第4期20-24,共5页
Modern Computer
关键词
SVM
模式识别
机器学习
数据挖掘
模式分类
SVM
Pattern Recognition
Machine Learning
Data Mining
Pattern Classification
