ListarLSI_Articles por tema "Class imbalance"
Mostrando ítems 1-3 de 3
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Associative learning on imbalanced environments: An empirical study
Elsevier (2015-10)Associative memories have emerged as a powerful computational neural network model for several pattern classification problems. Like most traditional classifiers, these models assume that the classes share similar prior ... -
Exploring the performance of resampling strategies for the class imbalance problem
Springer Verlag (2010)The present paper studies the influence of two distinct factors on the performance of some resampling strategies for handling imbalanced data sets. In particular, we focus on the nature of the classifier used, along with ... -
On the suitability of resampling techniques for the class imbalance problem in credit scoring
Palgrave Macmillan (2013)In real-life credit scoring applications, the case in which the class of defaulters is under-represented in comparison with the class of non-defaulters is a very common situation, but it has still received little attention. ...