Mostrando 4 resultados de: 4
Filtros aplicados
Publisher
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(3)
Pattern Recognition Letters(1)
Origen
scopus(4)
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: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