Fast cross-validation algorithms for least squares support vector machine and kernel ridge regression

DOI10.1016/j.patcog.2006.12.015zbMath1115.68125OpenAlexW1973650920WikidataQ60491263 ScholiaQ60491263MaRDI QIDQ882240

Wanquan Liu, Senjian An, Svetha Venkatesh

Publication date: 23 May 2007

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2006.12.015

zbMATH Keywords

model selectioncross-validationkernel methods

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

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Uses Software

• UCI-ml

Cites Work

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• Benchmarking least squares support vector machine classifiers
• Fast exact leave-one-out cross-validation of sparse least-squares support vector machines
• Efficient leave-one-out cross-validation of kernel Fisher discriminant classifiers.
• 10.1162/153244303768966085
• 10.1162/15324430260185619
• Chaos control using least-squares support vector machines
• Linear Model Selection by Cross-Validation
• Soft margins for AdaBoost

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