An algebraic characterization of the optimum of regularized kernel methods

DOI10.1007/s10994-008-5095-1zbMath1473.62214OpenAlexW2054800525MaRDI QIDQ1009329

Francesco Dinuzzo, De Nicolao, Giuseppe

Publication date: 31 March 2009

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-008-5095-1

zbMATH Keywords

kernel methodssupport vector machinesdegrees of freedomregularization theoryrepresenter theorem

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (2)

Restoration of images corrupted by Gaussian and uniform impulsive noise ⋮ Fractional Gaussian kernels

Uses Software

• Pegasos
• ElemStatLearn
• SSVM

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