多类分类支持向量机方法研究
摘要
如何将支持向量机应用到多类分类中,是目前研究的课题。本文介绍了几种常用的多类分类支持向量机及其各自的优缺点,为研究者提供参考。
出处
《福建电脑》
2010年第8期60-61,共2页
Journal of Fujian Computer
二级参考文献15
-
1[1]HSU C W,LIN C J.A comparison of methods for multiclass support vector machines[J].IEEE Transactions on Neural Networks,2002,13(2):415-425.
-
2[2]KIJSIRKUL B,USSIVAKUL N.Multiclass support vector machines using adaptive directed acyclic graph[A].Proceedings of the 2002 International Joint Conference on Neural Networks[C].Honolulu,HI,USA,2002,1(5):980-985.
-
3[3]PHETKAEW T,KIJSIRIKUL B,RIVEPIBOON W.Reordering adaptive directed acyclic graphs:an improved algorithm for multiclass support vector machines[A].Proceedings of the 2003 International Joint Conference on Neural Networks[C].Portland,OR,USA,2003.
-
4[4]TIAN X,DENG F Q.An improved multi-class SVM algorithm and its application to the credit scoring model[A].Proceedings of the fifth World Congress on Intelligent Control and Automation[C].Hangzhou,China,2004.
-
5[5]ANGUITA D,RIDELLA S,STERPI D.A new method for multiclass support vector machines[A].Proceedings of the 2004 International Joint Conference on Neural Networks[C].Budapest,Hungary,2004.
-
6[8]TAKAHASHI F.Decision-tree-based multi-class support vector machines[A].Proceedings of the 9th International Conference on Neural Information Processing[C].Orchid Country Club,Singapore,2002.
-
7[9]PLATT J,CRISTIANINI N,SHAWE-TAYLOR J.Large margin DAGs for multiclass classification[A].Proceedings of Neural Information Processing Systems[C].[s.l.],Cambridge,2000.
-
8[10]PAUL G.Cox,Reza Adhami.Multi-class support vector machine classifier applied to hyper-spectral data[A].Proceedings of the Thirty-Fourth Southeastern Symposium on System Theory[C].Huntsville,Alabama,2002.
-
9[11]FRANC V,HLAVAC V.Multi-class support vector machine[A].Proceedings of the 16th International Conference on Pattern Recognition[C].Quebec City,Canada,2002.
-
10[12]LIN Chunfu,WAMG Shengde.Fuzzy support vector machines[J].IEEE Transactions on Neural Networks,2002,13(2):464-471.
共引文献172
-
1袁胜发,褚福磊.SVM多类分类算法及其在故障诊断中的应用[J].振动工程学报,2004,17(z1):419-421. 被引量：13
-
2邱绵浩,田辉,安钢,刘东利.有向无环图决策支持向量机和经验模式分解在轴承故障诊断中的应用[J].装甲兵工程学院学报,2008,22(4):53-56.
-
3王媛,杨兆升,管青,杨朝.基于层次支持向量机的区域战略交通控制策略优化方法[J].吉林大学学报（工学版）,2009,39(1):38-44. 被引量：3
-
4吕秀莲,高国臣,石瑛.吉化“五性”工作法──生产经营中的思想政治工作方法探索[J].石油政工研究,2002(2):15-16.
-
5韩忠伟,李晨,Florian Schmidt.基于支持向量机和智能移动设备的多类树叶分类系统[J].生物技术世界,2013,10(3):173-173. 被引量：1
-
6王小明,毛梦祺,张昌景,许勇.基于支持向量机的遥感影像分类比较研究[J].测绘与空间地理信息,2013,36(4):17-20. 被引量：13
-
7许德昌,袁胜发.基于支持向量机的离心泵故障诊断方法研究[J].液压与气动,2004,28(12):64-65. 被引量：5
-
8张慧卿,王承亮.论我国现阶段义利观的层次性[J].理论探索,2002(3):21-22.
-
9王春歆,李连,张玉叶.树形结构SVMs多类分类的研究[J].海军航空工程学院学报,2005,20(2):254-256. 被引量：4
-
10方帅,王东署,迟健男,徐心和.视频监控系统中小运动目标分类算法[J].信息与控制,2005,34(2):201-204. 被引量：1
