Learning rates of multi-kernel regularized regression

DOI10.1016/j.jspi.2010.03.020zbMath1206.68252OpenAlexW2047709005MaRDI QIDQ974504

Luoqing Li, Hong Chen

Publication date: 3 June 2010

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2010.03.020

zbMATH Keywords

reproducing kernel Hilbert spaceslearning ratemulti-kernel regularizationRademacher chaos complexity

Mathematics Subject Classification ID

General nonlinear regression (62J02) Learning and adaptive systems in artificial intelligence (68T05)

Related Items

Refined Rademacher Chaos Complexity Bounds with Applications to the Multikernel Learning Problem ⋮ Reproducing kernels and choices of associated feature spaces, in the form of \(L^2\)-spaces ⋮ Learning performance of regularized regression with multiscale kernels based on Markov observations ⋮ Optimal convergence rates of high order Parzen windows with unbounded sampling ⋮ Approximation analysis of gradient descent algorithm for bipartite ranking ⋮ Statistical analysis of the moving least-squares method with unbounded sampling

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