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A mixed learning strategy for finding typical testors in large datasets
Conference ObjectAbstract: This paper presents a mixed, global and local, learning strategy for finding typical testors in largPalabras claves:ALGORITHMS, feature selection, testor theoryAutores:Eduardo Alba-Cabrera, Godoy-Calderon S., González-Guevara V., Julio Ibarra-FialloFuentes:scopusAn overview of the evolution of the concept of testor
ArticleAbstract: In this paper, the historical evolution of the concept of testor is presented. Testors in a bivaluedPalabras claves:Discriminating features, Feature combination, feature selection, TestorAutores:Eduardo Alba-Cabrera, Lazo-Cortes M.S., Ruiz-Shulcloper J.Fuentes:googlescopusSymbolic Learning for Improving the Performance of Transversal-Computation Algorithms
ArticleAbstract: Using the hypergraphs as the central data structure in dynamic discrete association problems is a coPalabras claves:LEARNING STRATEGY, minimal hitting set, Symbolic learning, transversal hypergraphAutores:Calvo H., Eduardo Alba-Cabrera, Godoy-Calderon S., González-Guevara V.Fuentes:googlescopusNew strategies for evaluating the performance of typical testor algorithms
Conference ObjectAbstract: Typical testors have been used in feature selection and supervised classification problems in the loPalabras claves:feature selection, Logical combinatorial PR, test matrices, testor theory, typical testors algorithmsAutores:Diego Guilcapi, Eduardo Alba-Cabrera, Julio Ibarra-FialloFuentes:scopusYYC: A fast performance incremental algorithm for finding typical testors
Conference ObjectAbstract: The last few years have seen an important increase in research publications dealing with external tyPalabras claves:feature selection, testor theory, Typical testor algorithmsAutores:Cervantes-Alonso F., Eduardo Alba-Cabrera, Godoy-Calderon S., Julio Ibarra-FialloFuentes:scopus