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A novel method for objective selection of information sources using multi-kernel SVM and local scaling
ArticleAbstract: Advancement on computer and sensing technologies has generated exponential growth in the data availaPalabras claves:Machine learning, Multimodality, multiple kernel learning, Source selection, SUPPORT VECTOR MACHINESAutores:A. E. Castro-Ospina, Areiza-Laverde H.J., Díaz G.M., Hernández M.L.Fuentes:scopusFeature 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:scopus