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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(3)
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Ciencias de la computación(3)
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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:scopusA theoretical and practical framework for assessing the computational behavior of typical testor-finding algorithms
Conference ObjectAbstract: Although the general relevance of Testor Theory as the theoretical ground for useful feature selectiPalabras claves:feature selection, testor theory, Typical testor algorithmsAutores:Eduardo Alba-Cabrera, Godoy-Calderon S., Julio Ibarra-FialloFuentes:scopusGenerating synthetic test matrices as a benchmark for the computational behavior of typical testor-finding algorithms
ArticleAbstract: Each typical testor-finding algorithm has a specific sensibility towards the number of rows, columnsPalabras claves:feature selection, testor theory, Typical testor algorithmsAutores:Eduardo Alba-Cabrera, Godoy-Calderon S., Julio Ibarra-FialloFuentes:scopusOn the Relation between the Concepts of Irreducible Testor and Minimal Transversal
ArticleAbstract: This paper aims at studying the relationship between two rather relevant theoretic fields such as GrPalabras claves:Graph Theory, Hitting set, Irreducible testor, Minimal transversal, testor theoryAutores:Carrasco-Ochoa J.A., Eduardo Alba-Cabrera, Fco Martinez-Trinidad J., Godoy-Calderon S., Lazo-Cortes M.S.Fuentes:googlescopusYYC: 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:scopusSymbolic 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:googlescopus