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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: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:scopusUnified dual for bi-class SVM approaches
ArticleAbstract: SVM theory was originally developed on the basis of a separable binary classification problem, and oPalabras claves:Binary classification, Kernels, Large margin principle, QP-problem, SVMAutores:Cecilio Angulo Bahón, Gonzalez-Abril L., Mallofre A.C., Velasco F.Fuentes:scopusSupport vector machines for interval discriminant analysis
ArticleAbstract: The use of data represented by intervals can be caused by imprecision in the input information, incoPalabras claves:classification, Convex optimization, interval analysis, Kernel machinesAutores:Anguita D., Cecilio Angulo Bahón, Gonzalez-Abril L., Ortega J.A.Fuentes:scopus