TWSVR: regression via twin support vector machine

DOI10.1016/j.neunet.2015.10.007zbMath1394.68294OpenAlexW1934171098WikidataQ40255873 ScholiaQ40255873MaRDI QIDQ1667536

Reshma Khemchandani, Keshav Goyal, Suresh Chandra

Publication date: 30 August 2018

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2015.10.007

zbMATH Keywords

support vector machinesmachine learningsupport vector regressiontwin support vector machines

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (7)

MBSVR: multiple birth support vector regression ⋮ Regression of survival data via twin support vector regression ⋮ PTSVRs: regression models via projection twin support vector machine ⋮ An optimized twin support vector regression algorithm enhanced by ensemble empirical mode decomposition and gated recurrent unit ⋮ Dual possibilistic regression analysis using support vector networks ⋮ Efficient implicit Lagrangian twin parametric insensitive support vector regression via unconstrained minimization problems ⋮ Maximum likelihood optimal and robust support vector regression with \textit{lncosh} loss function

Uses Software

• Matlab
• UCI-ml

Cites Work

• TSVR: an efficient twin support vector machine for regression
• Support-vector networks
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