首页 | 本学科首页   官方微博 | 高级检索  
     

支持向量机理论与算法研究综述
引用本文:丁世飞,齐丙娟,谭红艳. 支持向量机理论与算法研究综述[J]. 电子科技大学学报(自然科学版), 2011, 40(1): 2-10. DOI: 10.3969/j.issn.1001-0548.2011.01.001
作者姓名:丁世飞  齐丙娟  谭红艳
作者单位:1.中国矿业大学计算机科学与技术学院 江苏 徐州 221116;
基金项目:国家自然科学基金,江苏省基础研究计划
摘    要:统计学习理论(statistical learning theory,SLT)是一种小样本统计理论,着重研究在小样本情况下的统计规律及学习方法性质.支持向量机(support vector maehinse,SVM)是一种基于SLT的新型的机器学习方法,由于其出色的学习性能,已经成为当前机器学习界的研究热点.该文系统介...

关 键 词:FSVM  GSVM  统计学习理论  支持向量机  训练算法  TSVMs
收稿时间:2010-12-15

An Overview on Theory and Algorithm of Support Vector Machines
DING Shi-fei,QI Bing-juan,TAN Hong-yan. An Overview on Theory and Algorithm of Support Vector Machines[J]. Journal of University of Electronic Science and Technology of China, 2011, 40(1): 2-10. DOI: 10.3969/j.issn.1001-0548.2011.01.001
Authors:DING Shi-fei  QI Bing-juan  TAN Hong-yan
Affiliation:1.School of Computer Science and Technology,China University of Mining and Technology Xuzhou Jiangsu 221116;2.Key Laboratory of Intelligent Information Processing,Institute of Computing Technology,Chinese Academy of Science Haidian Beijing 100080;3.High Performance Network Laboratory,Institute of Acoustic,Chinese Academy of Science Haidian Beijing 100190
Abstract:Statistical learning theory is the statistical theory of smallsample, and it focuses on the statistical law and the nature of learning of small samples. Support vector machine is a new machine learning method based on statistical learning theory, and it has become the research field of machine learning because of its excellent performance. This paper describes the theoretical basis of support vector machines (SVM) systematically, sums up the mainstream machine training algorithms of traditional SVM and some new learning models and algorithms detailedly, and finally points out the research and development prospects of support vector machine.
Keywords:FSVM  GSVM  TSVMs
本文献已被 万方数据 等数据库收录!
点击此处可从《电子科技大学学报(自然科学版)》浏览原始摘要信息
点击此处可从《电子科技大学学报(自然科学版)》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号