On Convergence of Kernel Learning Estimators

DOI10.1137/070696817zbMath1203.68066OpenAlexW2164843805MaRDI QIDQ3586132

Vladimir I. Norkin, Michiel A. Keyzer

Publication date: 6 September 2010

Published in: SIAM Journal on Optimization (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/4ad2ebed1bc004e95864391aaba39763501f2126

zbMATH Keywords

stochastic optimizationconsistencyregularizationquantile regressionsupport vector machinesbinary classificationill posednesskernel learning

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Computational learning theory (68Q32) Stochastic programming (90C15) Programming in abstract spaces (90C48) Hilbert spaces with reproducing kernels (= (proper) functional Hilbert spaces, including de Branges-Rovnyak and other structured spaces) (46E22)

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