Mostrando 5 resultados de: 5
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(3)
IEEE Access(1)
Pattern Recognition Letters(1)
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:scopusNew 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: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