ListarDepartamento de Informática y Análisis Numérico por tema "Multi-label classification"
Mostrando ítems 1-4 de 4
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Auto-adaptive Grammar-Guided Genetic Programming algorithm to build Ensembles of Multi-Label Classifiers
(Elsevier, 2022)Multi-label classification has been used to solve a wide range of problems where each example in the dataset may be related either to one class (as in traditional classification problems) or to several class labels at the ... -
Multi-label classification models for heterogeneous data: an ensemble-based approach
(Universidad de Córdoba, UCOPress, 2020)In recent years, the multi-label classification task has gained the attention of the scientific community given its ability to solve real-world problems where each instance of the dataset may be associated with several ... -
New Hybrid Learning Models for Multi-label Classification and Label Ranking
(Universidad de Córdoba, UCOPress, 2016)En la última década, el aprendizaje multi-etiqueta se ha convertido en una importante tarea de investigación, debido en gran parte al creciente número de problemas reales que contienen datos multi-etiqueta. En esta tesis ... -
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 ...