Leave one support vector out cross validation for fast estimation of generalization errors

DOI10.1016/J.PATCOG.2004.02.007zbMath1070.68590OpenAlexW2120567680MaRDI QIDQ1886685

Yanyan Li

Publication date: 18 November 2004

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2004.02.007

zbMATH Keywords

ClassificationPattern recognitionSupport vector machineOn-line training algorithm

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Cites Work

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• Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
• Theory of Reproducing Kernels
• Choosing multiple parameters for support vector machines

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