Decomposition Methods for Linear Support Vector Machines

DOI10.1162/089976604774201640zbMath1102.68562OpenAlexW2119573243WikidataQ60241072 ScholiaQ60241072MaRDI QIDQ4832489

Chih-Jen Lin, Kai-Min Chung, Wei-Chun Kao, Chia-Liang Sun

Publication date: 4 January 2005

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

Full work available at URL: http://ntur.lib.ntu.edu.tw//handle/246246/155245

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Parameter selection of support vector regression based on hybrid optimization algorithm and its application

Cites Work

• 10.1162/15324430260185619
• 10.1162/15324430152748218
• Asymptotic Behaviors of Support Vector Machines with Gaussian Kernel
• A simple decomposition method for support vector machines

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