Mostrando 9 resultados de: 9
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Applied Soft Computing Journal(2)
ESANN 2011 - 19th European Symposium on Artificial Neural Networks(1)
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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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Programación informática, programas, datos, seguridad(6)
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Origen
scopus(9)
A post-processing strategy for SVM learning from unbalanced data
Conference ObjectAbstract: Standard learning algorithms may perform poorly when learning from unbalanced datasets. Based on thePalabras claves:Autores:Cecilio Angulo Bahón, Gonzalez-Abril L., Nuñez H.Fuentes:scopusGSVM: 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:scopusHandling binary classification problems with a priority class by using Support Vector Machines
ArticleAbstract: A post-processing technique for Support Vector Machine (SVM) algorithms for binary classification prPalabras claves:Cost-sensitive SVM, pattern recognition, Post-processing strategies, SUPPORT VECTOR MACHINESAutores:Cecilio Angulo Bahón, Gonzalez-Abril L., Leal Y., Nuñez H.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:scopusRule-based learning systems for support vector machines
ArticleAbstract: In this article, we propose some methods for deriving symbolic interpretation of data in the form ofPalabras claves:RBF neural networks, Rule based learning system, Rule extraction, Support Vector MachineAutores:Cecilio Angulo Bahón, Mallofre A.C., Nuñez H.Fuentes:scopusSupport vector machines with symbolic interpretation
Conference ObjectAbstract: In this work, a procedure for rule extraction from support vector machines (SVMs) is proposed. Our mPalabras claves:Artificial Intelligence, Clustering algorithms, Data Mining, Intelligent Systems, Neural networks, pbkp_redictive models, Prototypes, Support vector machine classification, SUPPORT VECTOR MACHINES, Systems engineering and theoryAutores:Cecilio Angulo Bahón, Mallofre A.C., Nuñez H.Fuentes:scopus