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Nonlinear system identification with composite relevance vector machines
ArticleAbstract: Nonlinear system identification based on relevance vector machines (RVMs) has been traditionally addPalabras claves:Composite kernels, Nonlinear system identification, Relevance vector machine (RVM)Autores:Camps-Valls G., Jose Luis Rojo-Álvarez, Martinez-Ramon M., Mun̈oz-Marí J.Fuentes:scopusLearning non-linear time-scales with kernel γ-filters
ArticleAbstract: A family of kernel methods, based on the γ-filter structure, is presented for non-linear system idenPalabras claves:Gamma filter, Kernel, Non-linear system identification, Support Vector MachineAutores:Camps-Valls G., Jose Luis Rojo-Álvarez, Martinez-Ramon M., Mun̈oz-Marí J., Requena-Carrión J.Fuentes:scopusSparse deconvolution using support vector machines
ArticleAbstract: Sparse deconvolution is a classical subject in digital signal processing, having many practical applPalabras claves:Autores:Camps-Valls G., Figueiras-Vidal A.R., Jose Luis Rojo-Álvarez, Martínez-Cruz C.E., Martinez-Ramon M., Mun̈oz-Marí J.Fuentes:scopusSupport vector machines for nonlinear Kernel ARMA system identification
ArticleAbstract: Nonlinear system identification based on support vector machines (SVM) has been usually addressed byPalabras claves:Autores:Camps-Valls G., Figueiras-Vidal A.R., Jose Luis Rojo-Álvarez, Martinez-Ramon M., Mun̈oz-Marí J., Navia-Vázquez A., Soria-Olivas E.Fuentes:scopus