Knowledge based least squares twin support vector machines

DOI10.1016/j.ins.2010.07.034zbMath1206.68255OpenAlexW2091672503MaRDI QIDQ621592

M. Arun Kumar, Reshma Khemchandani, M. Gopal, Suresh Chandra

Publication date: 28 January 2011

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

Full work available at URL: https://doi.org/10.1016/j.ins.2010.07.034

zbMATH Keywords

pattern classificationsupport vector machinesknowledge based systems

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (5)

Capped \(L_{2,p}\)-norm metric based robust least squares twin support vector machine for pattern classification ⋮ A reduced support vector machine approach for interval regression analysis ⋮ Twin Mahalanobis distance-based support vector machines for pattern recognition ⋮ Support vector machine classifiers with uncertain knowledge sets via robust optimization ⋮ Large-scale pinball twin support vector machines

Uses Software

• UCI-ml

Cites Work

• Regularized least squares support vector regression for the simultaneous learning of a function and its derivatives
• Survival-time classification of breast cancer patients
• Knowledge based proximal support vector machines
• Extended support vector interval regression networks for interval input-output data
• Multicategory proximal support vector machine classifiers
• Unnamed Item
• Unnamed Item

This page was built for publication: Knowledge based least squares twin support vector machines