DocumentCode :
1945629
Title :
A Multi-class Classification Algorithm based on Ordinal Regression Machine
Author :
Yang, Zhixia ; Deng, Naiyang ; Tian, Yingjie
Author_Institution :
Coll. of Sci., China Agric. Univ.
Volume :
2
fYear :
2005
fDate :
28-30 Nov. 2005
Firstpage :
810
Lastpage :
815
Abstract :
Multi-class classification is an important and on-going research subject in machine learning. In this paper, we propose a multi-class classification algorithm based on ordinal regression algorithm using 3-class classification. This algorithm is similar to algorithm K-SVCR and algorithm nu-K-SVCR, but it includes fewer parameters. Another advantage of our algorithm is that, for the K-class classification problem, our algorithm can be extended to using p-class classification with 2 les p les K. Numerical experiments on artificial data sets and benchmark data sets show that the algorithm is reasonable and effective
Keywords :
learning (artificial intelligence); pattern classification; regression analysis; support vector machines; 3-class classification; machine learning; multiclass classification algorithm; ordinal regression machine; Classification algorithms; Computational intelligence; Educational institutions; Machine learning; Machine learning algorithms; Mathematics; Robustness; Static VAr compensators; Support vector machine classification; Support vector machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-7695-2504-0
Type :
conf
DOI :
10.1109/CIMCA.2005.1631568
Filename :
1631568
Link To Document :
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