Two Criteria for Model Selection in Multiclass Support Vector Machines

Date

Authors

Wang, Lei

Xue, Ping

Chan, Kap Luk

Publisher

Institute of Electrical and Electronics Engineers (IEEE Inc)

Abstract

Practical applications call for efficient model selection criteria for multiclass support vector machine (SVM) classification. To solve this problem, this paper develops two model selection criteria by combining or redefining the radius-margin bound used

Keywords

Keywords: algorithm; article; artificial intelligence; automated pattern recognition; computer program; computer simulation; methodology; statistical model; Algorithms; Artificial Intelligence; Computer Simulation; Models, Statistical; Pattern Recognition, Automate Class separability measure; Model selection; Multiclass classification; Multiclass support vector machines (SVMs); Radius-margin bound

URI

http://hdl.handle.net/1885/36515

Collections

ANU Research Publications

Source

IEEE Transactions on Systems, Man, and Cybernetics Part B: Cybernetics

Type

Journal article

DOI

10.1109/TSMCB.2008.927272

Restricted until

2037-12-31

Downloads

File

Description

01_Wang_Two_Criteria_for_Model_2008.pdf (1.54 MB)