ListarIIT por tema "Sample types"
Mostrando ítems 1-2 de 2
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Instance selection for the nearest neighbor classifier: Connecting the performance to the underlying data structure
(Springer, 2019)Instance selection is one of the most successful solutions to low noise tolerance of the nearest neighbor classifier. Many algorithms have been proposed in the literature, but further research in this area is still needed ... -
Understanding the apparent superiority of over-sampling through an analysis of local information for class-imbalanced data
(2019-10-14)Data plays a key role in the design of expert and intelligent systems and therefore, data preprocessing appears to be a critical step to produce high-quality data and build accurate machine learning models. Over the past ...