Local overlap reduction procedure for dynamic ensemble selection. (arXiv:2206.08455v1 [cs.LG])

Web: http://arxiv.org/abs/2206.08455

Class imbalance is a characteristic known for making learning more
challenging for classification models as they may end up biased towards the
majority class. A promising approach among the ensemble-based methods in the
context of imbalance learning is Dynamic Selection (DS). DS techniques single
out a subset of the classifiers in the ensemble to label each given unknown
sample according to their estimated competence in the area surrounding the
query. Because only a small region is taken into account in …

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