On-line SVM learning via an incremental primal–dual technique

DOI10.1080/10556788.2011.633705zbMath1267.65062OpenAlexW2065417424MaRDI QIDQ4924114

Theodore B. Trafalis, Nicolas P. Couellan

Publication date: 30 May 2013

Published in: Optimization Methods and Software (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10556788.2011.633705

zbMATH Keywords

algorithmquadratic programmingpattern recognitionprimal-dual methodnumerical examplesnonlinear programminginterior-point methodssupport vector machinesmachine learningbatch training methodincremental gradient technique

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Applications of mathematical programming (90C90) Nonlinear programming (90C30) Learning and adaptive systems in artificial intelligence (68T05) Quadratic programming (90C20) Interior-point methods (90C51) Pattern recognition, speech recognition (68T10)

Related Items (2)

An incremental primal-dual method for nonlinear programming with special structure ⋮ Incremental accelerated gradient methods for SVM classification: study of the constrained approach

Uses Software

• Matlab
• UCI-ml

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• New least-square algorithms
• Inference for the generalization error
• On the formulation and theory of the Newton interior-point method for nonlinear programming
• Breast tumor susceptibility to chemotherapy via support vector machines
• Online Learning with Kernels
• The relaxed online maximum margin algorithm

This page was built for publication: On-line SVM learning via an incremental primal–dual technique