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Dual unification of bi-class support vector machine formulations
ArticleAbstract: Support vector machine (SVM) theory was originally developed on the basis of a linearly separable biPalabras claves:Bi-classification, Convex hull, Large margin principle, Optimization, SVMAutores:Cecilio Angulo Bahón, Gonzalez-Abril L., Mallofre A.C., Velasco F.Fuentes:scopusOnline motion recognition using an accelerometer in a mobile device
ArticleAbstract: This paper introduces a new method to implement a motion recognition process using a mobile phone fiPalabras claves:Features extraction, pattern recognition, SVMAutores:Cecilio Angulo Bahón, Fuentes D., Gonzalez-Abril L., Ortega J.A.Fuentes:scopusIntroducing a 'difficulty factor' for dataset bi-classification using SVM
Conference ObjectAbstract: This paper analyses the difficulty associated to the task of binary classification when a Support VePalabras claves:classification, Complexity, Glass dataset, Lagrange multipliers, SVMAutores:Cecilio Angulo Bahón, Gonzalez-Abril L.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:scopus