On Convergence Rates of Mixtures of Polynomial Experts

DOI10.1162/NECO_A_00354zbMath1268.62039OpenAlexW2061155774WikidataQ84866957 ScholiaQ84866957MaRDI QIDQ2840878

Eduardo F. Mendes, Wenxin Jiang

Publication date: 23 July 2013

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1162/neco_a_00354

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Density estimation (62G07) General nonlinear regression (62J02) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35)

Related Items (3)

Approximations of conditional probability density functions in Lebesgue spaces via mixture of experts models ⋮ A Universal Approximation Theorem for Mixture-of-Experts Models ⋮ A non-asymptotic approach for model selection via penalization in high-dimensional mixture of experts models

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