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Improved sparse least-squares support vector machines

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Publication:1852050
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DOI10.1016/S0925-2312(02)00606-9zbMath1006.68767OpenAlexW2014991763MaRDI QIDQ1852050

Nicola L. C. Talbot, Gavin C. Cawley

Publication date: 9 January 2003

Published in: Neurocomputing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0925-2312(02)00606-9


zbMATH Keywords

Support vector machinesKernel ridge regressionSparse approximation


Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies and applications (68U99)


Related Items (8)

Efficient sparse least squares support vector machines for pattern classification ⋮ Optimally regularised kernel Fisher discriminant classification ⋮ A faster gradient ascent learning algorithm for nonlinear SVM ⋮ Fast exact leave-one-out cross-validation of sparse least-squares support vector machines ⋮ Online independent reduced least squares support vector regression ⋮ The key theorem and the bounds on the rate of uniform convergence of learning theory on Sugeno measure space ⋮ Model selection for the LS-SVM. Application to handwriting recognition ⋮ Supervised pre-clustering for sparse regression




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