Nonparametric Regression Estimation by Normalized Radial Basis Function Networks

DOI10.1109/TIT.2004.842632zbMath1297.62089OpenAlexW2161958040MaRDI QIDQ3547186

Dominik Schäfer, Adam Krzyżak

Publication date: 21 December 2008

Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tit.2004.842632

zbMATH Keywords

covering numbersempirical risk minimizationnonparametric regression estimationnormalized radial basis function networks

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Computational learning theory (68Q32) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (4)

Learning and Convergence of the Normalized Radial Basis Functions Networks ⋮ Approximations of conditional probability density functions in Lebesgue spaces via mixture of experts models ⋮ On Learning and Convergence of RBF Networks in Regression Estimation and Classification ⋮ Nonparametric nonlinear regression using polynomial and neural approximators: a numerical comparison

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