RBF nets, mixture experts, and Bayesian Ying-Yang learning

DOI10.1016/S0925-2312(97)00091-XzbMath0899.68083OpenAlexW2074266282MaRDI QIDQ1387900

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Publication date: 10 November 1998

Published in: Neurocomputing (Search for Journal in Brave)

Full work available at URL: http://www.elsevier.com/locate/neucom

zbMATH Keywords

alternative model for mixture of expertsBayesian Ying-Yangextended normalized RBFnormalized radial basis function

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (5)

Bayesian Ying-Yang Harmony Learning for Local Factor Analysis: A Comparative Investigation ⋮ A unified perspective and new results on RHT computing, mixture based learning, and multi-learner based problem solving ⋮ On the construction of the relevance vector machine based on Bayesian Ying-Yang harmony learning ⋮ Nonlinear logistic discrimination via regularized radial basis functions for classifying high-dimensional data ⋮ Sensitivity analysis applied to the construction of radial basis function networks

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