ListarDIAN-Artículos, capítulos... por tema "Instance-based learning"
Mostrando ítems 1-3 de 3
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Cooperative coevolutionary instance selection for multilabel problems
(Elsevier, 2021)Multilabel classification as a data mining task has recently attracted greater research interest. Many current data mining applications address problems having instances that belong to more than one class, which requires ... -
ML-k’sNN: Label Dependent k Values for Multi-Label k-Nearest Neighbor Rule
(MDPI, 2023)Multi-label classification as a data mining task has recently attracted increasing interest from researchers. Many current data mining applications address problems with instances that belong to more than one category. ... -
PARIS: Partial instance and training set selection. A new scalable approach to multi-label classification
(Elsevier, 2023)Multi-label classification has recently attracted research interest as a data mining task. Many current applications in data mining address problems that have instances belonging to more than one class. This requires the ...