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Feature group selection using mkl penalized with ℓ<inf>1</inf> -norm and svm as base learner
Conference ObjectAbstract: Objective feature selection is an important component in the machine learning framework, which has aPalabras claves:feature selection, Group LASSO, Multimodality, multiple kernel learning, sparsityAutores:A. E. Castro-Ospina, Areiza-Laverde H.J., Díaz G.M.Fuentes:scopusTwo novel clustering performance measures based on coherence and relative assignments of clusters
Conference ObjectAbstract: This work proposes two novel alternatives for dealing with the highly important issue of the clusterPalabras claves:Cluster coherence, Clustering, Graph-partitioning, probabilities, Relative frequenciesAutores:A. E. Castro-Ospina, Areiza-Laverde H.J., Diego Hernán Peluffo-Ordóñez, Miguel A. Becerra, Paul D. Rosero-Montalvo, Rodríguez-Sotelo J.L.Fuentes:scopusVoice pathology detection using artificial neural networks and support vector machines powered by a multicriteria optimization algorithm
Conference ObjectAbstract: Computer-aided diagnosis (CAD) systems have allowed to enhance the performance of conventional, mediPalabras claves:classification, Computer-aided diagnosis, Optimization, Voice pathologyAutores:A. E. Castro-Ospina, Areiza-Laverde H.J., Diego Hernán Peluffo-OrdóñezFuentes:scopus