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Fuzzy sigmoid kernel for support vector classifiers
ArticleAbstract: This Letter proposes the use of the fuzzy sigmoid function presented in (IEEE Trans. Neural NetworksPalabras claves:Positive semi-definite kernel, sigmoid, SUPPORT VECTOR MACHINESAutores:Camps-Valls G., Jose Luis Rojo-Álvarez, Martín-Guerrero J., Soria-Olivas E.Fuentes:scopusRobust γ-filter using support vector machines
ArticleAbstract: This Letter presents a new approach to time-series modelling using the support vector machines (SVM)Palabras claves:channel equalization, Iterated pbkp_rediction, SUPPORT VECTOR MACHINES, γ-FilterAutores:Camps-Valls G., Jose Luis Rojo-Álvarez, Martinez-Ramon M., Soria-Olivas E.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:scopusSupport vector machines framework for linear signal processing
ArticleAbstract: This paper presents a support vector machines (SVM) framework to deal with linear signal processingPalabras claves:Complex ARMA, Gamma filter, Linear processing, Spectral estimation, SUPPORT VECTOR MACHINESAutores:Camps-Valls G., Figueiras-Vidal A.R., Jose Luis Rojo-Álvarez, Martinez-Ramon M., Navia-Vázquez A., Soria-Olivas E.Fuentes:scopus