Learning rates for least square regressions with coefficient regularization

DOI10.1007/s10114-012-0607-0zbMath1258.68071OpenAlexW2004953525MaRDI QIDQ1928153

Jianli Wang, Pei Xin Ye, Bao Huai Sheng

Publication date: 2 January 2013

Published in: Acta Mathematica Sinica. English Series (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10114-012-0607-0

zbMATH Keywords

coefficient regularizationlearning rates\(\mathcal K\)-functionalgeneral kernelleast square regressions

Mathematics Subject Classification ID

Computational learning theory (68Q32) Minimax procedures in statistical decision theory (62C20) Convex programming (90C25)

Related Items (6)

Non-asymptotic error bound for optimal prediction of function-on-function regression by RKHS approach ⋮ The learning rate of \(l_2\)-coefficient regularized classification with strong loss ⋮ Learning rates for the kernel regularized regression with a differentiable strongly convex loss ⋮ Error analysis of kernel regularized pairwise learning with a strongly convex loss ⋮ Coefficient-based \(l^q\)-regularized regression with indefinite kernels and unbounded sampling ⋮ Coefficient-based regularized regression with dependent and unbounded sampling

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