Error analysis of the kernel regularized regression based on refined convex losses and RKBSs

DOI10.1142/S0219691321500120zbMath1478.62095OpenAlexW3128938886MaRDI QIDQ5022936

Lan Zuo, Bao Huai Sheng

Publication date: 20 January 2022

Published in: International Journal of Wavelets, Multiresolution and Information Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0219691321500120

zbMATH Keywords

uniformly convex spaceuniformly convex functionuniformly smooth functionreproducing kernel Banach spacekernel regularized regression

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) 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) Rate of convergence, degree of approximation (41A25)

Related Items

The kernel regularized learning algorithm for solving Laplace equation with Dirichlet boundary ⋮ Learning rates of kernel-based robust classification ⋮ Sparse machine learning in Banach spaces

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