Evolutionary ensembles for imbalanced learning
In many real classification problems, the data set used for model induction is significantly imbalanced. This occurs when the number of examples of some classes is much lower than the other classes. Imbalanced datasets can compromise the performance of most classical classification algorithms. T...
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| Language: | English |
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Universidade de São Paulo
2018
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| Online Access: | http://www.teses.usp.br/teses/disponiveis/55/55134/tde-30102018-101256/ |