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<> "The repository administrator has not yet configured an RDF license."^^ . <> . . "Faster Training in Nonlinear ICA using MISEP"^^ . "MISEP has been proposed as a generalization of the INFOMAX method in two directions: (1) handling of nonlinear mixtures, and (2) learning the nonlinearities to be used at the outputs, making the method suitable to the separation of components with a wide range of statistical distributions. In all implementations up to now, MISEP had used multilayer perceptrons (MLPs) to perform the nonlinear ICA operation. Use of MLPs sometimes leads to a relatively slow training. This has been attributed, at least in part, to the non-local character of the MLP's units. This paper investigates the possibility of using a network of radial basis function (RBF) units for performing the nonlinear ICA operation. It shows that the local character of the RBF network's units allows a significant speedup in the training of the system. The paper gives a brief introduction to the basics of the MISEP method, and presents experimental results showing the speed advantage of using an RBF-based network to perform the ICA operation."^^ . "2002" . . . . . . . . "Luis B."^^ . "Almeida"^^ . "Luis B. Almeida"^^ . . . . . . "Faster Training in Nonlinear ICA using MISEP (PDF)"^^ . . . . . . "AlmeidaICA2003.pdf"^^ . . . "Faster Training in Nonlinear ICA using MISEP (Image (PNG))"^^ . . . . . . "preview.png"^^ . . . "Faster Training in Nonlinear ICA using MISEP (Indexer Terms)"^^ . . . . . . "indexcodes.txt"^^ . . "HTML Summary of #2691 \n\nFaster Training in Nonlinear ICA using MISEP\n\n" . "text/html" . . . "Statistical Models" . . . "Machine Learning" . . . "Neural Nets" . .