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Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)(1)
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(1)
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GSVM: An SVM for handling imbalanced accuracy between classes inbi-classification problems
ArticleAbstract: A new support vector machine, SVM, is introduced, called GSVM, which is specially designed for bi-clPalabras claves:classification, Cost-sensitive schemes, Imbalanced accuracy, Imbalanced databases, SUPPORT VECTOR MACHINESAutores:Cecilio Angulo Bahón, Gonzalez-Abril L., Nuñez H., Velasco F.Fuentes:scopusHybrid architecture based on support vector machines
Conference ObjectAbstract: An hybrid SVM-symbolic architecture for classification tasks is proposed in this work. The learningPalabras claves:Autores:Cátalaandreu A., Cecilio Angulo Bahón, Nuñez H.Fuentes:scopusImproving SVM Classification on Imbalanced Datasets by Introducing a New Bias
ArticleAbstract: Support Vector Machine (SVM) learning from imbalanced datasets, as well as most learning machines, cPalabras claves:bias, Cost-sensitive strategy, Post-processing, SMOTE, Support Vector MachineAutores:Cecilio Angulo Bahón, Gonzalez-Abril L., Nuñez H.Fuentes:scopusRule extraction based on support and prototype vectors
ArticleAbstract: The support vector machine (SVM) is a modelling technique based on the statistical learning theory (Palabras claves:Autores:Cecilio Angulo Bahón, Mallofre A.C., Nuñez H.Fuentes:scopusRule extraction from radial basis function networks by using support vectors
Conference ObjectAbstract: In this paper, a procedure for rule extraction from radial basis function networks (RBFNs) is proposPalabras claves:Autores:Cecilio Angulo Bahón, Mallofre A.C., Nuñez H.Fuentes:scopus