Robust projection twin support vector machine via DC programming

DOI10.1080/02331934.2021.1960331zbMath1493.90144OpenAlexW4220867593MaRDI QIDQ5077170

Lin Yin, Guoquan Li, Linxi Yang, Zhi-You Wu

Publication date: 18 May 2022

Published in: Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331934.2021.1960331

zbMATH Keywords

robustnessDC programmingprojection twin support vector machinechance constraint

Mathematics Subject Classification ID

Nonconvex programming, global optimization (90C26) Robustness in mathematical programming (90C17)

Uses Software

• UCI-ml
• TPMSVM

Cites Work

• Unnamed Item
• Unnamed Item
• Robust twin support vector machine for pattern classification
• Improve robustness of sparse PCA by \(L_{1}\)-norm maximization
• Alternative second-order cone programming formulations for support vector classification
• Double regularization methods for robust feature selection and SVM classification via DC programming
• Convex analysis approach to d. c. programming: Theory, algorithms and applications
• \(L_{1}\)-norm loss based twin support vector machine for data recognition
• DC programming and DCA: thirty years of developments
• Support-vector networks
• Weighted twin support vector machines with local information and its application
• D.C. programming for sparse proximal support vector machines
• Recursive projection twin support vector machine via within-class variance minimization
• TPMSVM: A novel twin parametric-margin support vector machine for pattern recognition
• A DC programming approach for sensor network localization with uncertainties in anchor positions
• Robust L1-norm non-parallel proximal support vector machine
• New SDP models for protein homology detection with semi-supervised SVM