DocumentCode
401652
Title
A multistage support vector machine
Author
Xiao-Peng Liu ; Hong-Jie Xing ; Xi-Zhao Wang
Author_Institution
Fac. of Mathematics & Comput. Sci., Hebei Univ., China
Volume
2
fYear
2003
fDate
2-5 Nov. 2003
Firstpage
1305
Abstract
A new multiclass support vector machine (SVM) called multistage support vector machine (MSVM), which is used to combine many two-class classifiers into one multiclass classifier, is proposed in this paper. Comparing its performance with the other three existing SVM methods, the proposed MSVM has shown a better generalization capability.
Keywords
learning (artificial intelligence); support vector machines; binary classifiers; generalization capability; learning scheme; multiclass classifier; multistage support vector machine;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN
0-7803-8131-9
Type
conf
DOI
10.1109/ICMLC.2003.1259690
Filename
1259690
Link To Document