The learning rates of regularized regression based on reproducing kernel Banach spaces

DOI10.1155/2013/694181zbMath1470.68174OpenAlexW2124978107WikidataQ58916646 ScholiaQ58916646MaRDI QIDQ2318985

Pei Xin Ye, Bao Huai Sheng

Publication date: 16 August 2019

Published in: Abstract and Applied Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2013/694181

Mathematics Subject Classification ID

General nonlinear regression (62J02) Learning and adaptive systems in artificial intelligence (68T05) Hilbert spaces with reproducing kernels (= (proper) functional Hilbert spaces, including de Branges-Rovnyak and other structured spaces) (46E22)

Related Items (5)

Error analysis on Hérmite learning with gradient data ⋮ On the K-functional in learning theory ⋮ Convergence rate of SVM for kernel-based robust regression ⋮ Solutions of nonlinear systems by reproducing kernel method ⋮ Error analysis of the kernel regularized regression based on refined convex losses and RKBSs

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