A faster gradient ascent learning algorithm for nonlinear SVM

DOI10.1155/2013/520635zbMath1298.68217OpenAlexW2021579191WikidataQ58996315 ScholiaQ58996315MaRDI QIDQ469835

Luminita State, Marinela Mircea, Panayiotis Vlamos, Catalina-Lucia Cocianu

Publication date: 11 November 2014

Published in: ISRN Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2013/520635

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• SVMlight
• Pegasos
• SSVM
• mySVM

Cites Work

• Weighted least squares support vector machines: robustness and sparse approximation
• Improved sparse least-squares support vector machines
• SSVM: A smooth support vector machine for classification
• Feasible direction decomposition algorithms for training support vector machines
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