Arbitrary Norm Support Vector Machines

DOI10.1162/neco.2008.12-07-667zbMath1178.68419OpenAlexW2041417488WikidataQ44346351 ScholiaQ44346351MaRDI QIDQ3612134

Michael R. Lyu, Danian Zheng, Irwin King, Kaizhu Huang

Publication date: 3 March 2009

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

Full work available at URL: https://doi.org/10.1162/neco.2008.12-07-667

zbMATH Keywords

Bayesian learningkernel machines

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items

The sparse signomial classification and regression model

Cites Work

• 10.1162/15324430260185637
• 10.1162/15324430152748236
• Improvements to Platt's SMO Algorithm for SVM Classifier Design
• 10.1162/153244303322753751
• Efficient SVM regression training with SMO