Two Criteria for Model Selection in Multiclass Support Vector Machines

Date

2008

Authors

Wang, Lei
Xue, Ping
Chan, Kap Luk

Journal Title

Journal ISSN

Volume Title

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

Description

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

Citation

Source

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

Type

Journal article

Book Title

Entity type

Access Statement

License Rights

DOI

10.1109/TSMCB.2008.927272

Restricted until

2037-12-31