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