Haitao Xu, Liya Fan, "1-NRTSVM via ADMM for Automatical Feature Selection and Classification Simultaneously," WSEAS Transactions on Computers, vol. 15, pp. 125-132, 2016, DOI:
Haitao Xu, Liya Fan. 1-NRTSVM via ADMM for Automatical Feature Selection and Classification Simultaneously.
WSEAS Transactions on Computers. 2016;15:125-132.
WSEAS Transactions on Computers
Print ISSN: 1109-2750, E-ISSN: 2224-2872
Volume 15, 2016
1-NRTSVM via ADMM for Automatical Feature Selection and Classification Simultaneously
Authors: ,
Abstract: In this paper, a novel classifier with linear and nonlinear versions for data classification and automatical feature selection simultaneously is proposed and named as 1-norm regularized twin support vector machine (1-NRTSVM). By means of the alternating direction method of multipliers (ADMM), two implementation algorithms for 1-NRTSVM are presented. A major feature of the proposed method is directly solving primal problems not dual problems. Experiment results show that the proposed 1-NRTSVM is an effective and competitive classifier for data classification and automatical feature selection.
Keywords:
Twin support vector machine, 1-norm of a vector, alternating direction method of multipliers, automatic feature selection
Pages: 125-132 WSEAS Transactions on Computers, ISSN / E-ISSN: 1109-2750 / 2224-2872, Volume 15, 2016, Art. #13 DOI: *As the DOI is a unique identifier, it is already available in the pdf version.
**The DOI link will be activated in the first midst of January 2026.
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