Online regularized pairwise learning with least squares loss

DOI10.1142/S0219530519410070zbMath1435.68284OpenAlexW2982521376WikidataQ126857206 ScholiaQ126857206MaRDI QIDQ5220066

Cheng Wang, Ting Hu

Publication date: 10 March 2020

Published in: Analysis and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0219530519410070

zbMATH Keywords

regularizationonline learningpairwise learningreproducing-kernel Hilbert spaces

Mathematics Subject Classification ID

General nonlinear regression (62J02) Learning and adaptive systems in artificial intelligence (68T05) Online algorithms; streaming algorithms (68W27) Linear operators in reproducing-kernel Hilbert spaces (including de Branges, de Branges-Rovnyak, and other structured spaces) (47B32)

Related Items

Learning theory of minimum error entropy under weak moment conditions, Online regularized pairwise learning with non-i.i.d. observations, Convergence of online pairwise regression learning with quadratic loss, Error analysis of kernel regularized pairwise learning with a strongly convex loss, Generalization ability of online pairwise support vector machine

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