Application of integral operator for vector-valued regression learning

DOI10.1142/S0219691315500472zbMath1351.68222OpenAlexW2245469773MaRDI QIDQ2788478

Hongwei Sun, Yuanxin Ma

Publication date: 19 February 2016

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/s0219691315500472

zbMATH Keywords

learning theoryerror boundslearning ratesvector-valued RKHS

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (3)

Learning rates for the kernel regularized regression with a differentiable strongly convex loss ⋮ Coefficient-based regularized regression with dependent and unbounded sampling ⋮ Error analysis of the kernel regularized regression based on refined convex losses and RKBSs

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• 10.1162/153244302760200704
• 10.1162/153244303321897690
• REGULARIZED LEAST SQUARE ALGORITHM WITH TWO KERNELS

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