Mixture Of Experts
Mostrando 1-5 de 5 artigos, teses e dissertações.
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1. Choices and pitfalls concerning mixture-of-experts modeling
This paper deals with some important decisions that ought to be made when building a mixture-of-experts model (MEM). Such decisions are related to aspects such as the clustering method and the gating functions used in the model. Depending on how these decisions are made, different mixtures might be formed, yielding different results. In the present study, we
Pesquisa Operacional. Publicado em: 2011-04
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2. Choices and pitfalls concerning mixture-of-experts modeling.
Researchers of different fields often need to learn and represent phenomena through relationships between variables and use them to predict the phenomena behavior under uncertain conditions. However, choosing the "best" model in a modeling exercise is always an arduous task, yet because of the various uncertainties associated with the modeling process.A way
Publicado em: 2005
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3. Comite de maquinas : uma abordagem unificada empregando maquinas de vetores-suporte / Committee machines: a unified approach using support vector machines
Algorithms based on kernel methods are prominent techniques among the available approaches for machine learning. They were initially applied to implement support vector machines (SVMs). The SVM approach represents a nonparametric learning procedure devoted to high performance classification and regression tasks. However, structural and parametric aspects of
Publicado em: 2004
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4. Evolução, simbiose e hidridismo aplicados a engenharia de sistemas inteligentes modulares : investigações em redes neurais, comites de maquinas e sistemas multiagentes
This treaty is of an essentially empirical nature and presents a systematic and encompassing study about the application of Evolutionary Computation techniques towards the adaptive solving of non-trivial problems under the discipline of modular intelligent systems engineering. The series of experiments conducted and reported along the text had as main stimul
Publicado em: 2004
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5. O MODELO DE REDES NEURAIS GLOBAIS-LOCAIS / THE LINEAR LOCAL-GLOBAL NEURAL NETWORK MODEL
Nesta tese apresenta-se o Modelo de Redes Neurais Globais- Locais (RNGL) dentro do contexto de modelos de séries temporais. Esta formulação abrange alguns modelos não- lineares já existentes e admite também o enfoque de Mistura de Especialistas. Dedica-se especial atenção ao caso de especialistas lineares, e são discutidos extensivamente aspectos te
Publicado em: 2003