Ensemble Pruning Based on Objection Maximization With a General Distributed Framework
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DOI: 10.1109/tnnls.2019.2945116
Abstract: Ensemble pruning, selecting a subset of individual learners from an original ensemble, alleviates the deficiencies of ensemble learning on the cost of time and space. Accuracy and diversity serve as two crucial factors, while they… read more here.
Keywords: general distributed; distributed framework; objection maximization; framework ... See more keywords