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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: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: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:scopus