Robust support vector machines for multiple instance learning

DOI10.1007/s10479-012-1241-zzbMath1296.90117OpenAlexW2091428542MaRDI QIDQ744714

O. Erhun Kundakcioglu, Mohammad H. Poursaeidi

Publication date: 26 September 2014

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10479-012-1241-z

zbMATH Keywords

support vector machinesconstraint programmingmultiple instance learningrobust classification

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Nonlinear programming (90C30) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (5)

A distance-based control chart for monitoring multivariate processes using support vector machines ⋮ Multiple instance classification via quadratic programming ⋮ Economic design under gamma shock model of the control chart for sustainable operations ⋮ Multi-instance learning by maximizing the area under receiver operating characteristic curve ⋮ Weighted relaxed support vector machines

Uses Software

• Matlab
• UCI-ml
• CPLEX
• LIBSVM

Cites Work

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• Robust classification and regression using support vector machines
• Support Vector Machines with the Ramp Loss and the Hard Margin Loss
• Multivariate classification trees based on minimum features discrete support vector machines
• On ψ-Learning
• 10.1162/jmlr.2003.3.4-5.651

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