A hybrid acceleration strategy for nonparallel support vector machine

DOI10.1016/j.ins.2020.08.067zbMath1475.68299OpenAlexW3081653269MaRDI QIDQ2055553

Weichen Wu, Xinying Pang, Yitian Xu

Publication date: 1 December 2021

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2020.08.067

zbMATH Keywords

classificationvariational inequalityduality gapsupport vector machineshrinkingsafe screening

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (2)

R-CTSVM+: robust capped \(\mathrm{L}_1\)-norm twin support vector machine with privileged information ⋮ A safe double screening strategy for elastic net support vector machine

Uses Software

• UCI-ml
• LIBSVM
• Pegasos

Cites Work

• Pegasos: primal estimated sub-gradient solver for SVM
• On the convergence of the coordinate descent method for convex differentiable minimization
• Support Vector Machines
• Dynamic Screening: Accelerating First-Order Algorithms for the Lasso and Group-Lasso
• Gap Safe screening rules for sparsity enforcing penalties
• Safe Feature Elimination in Sparse Supervised Learning
• Understanding Machine Learning
• Foundations of Optimization
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