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
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;
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
DOI :
10.1109/ICMLC.2003.1259690
