most citedA game-theoretic framework for classifier ensembles using weighted majority voting with local accuracy estimates

8 citations · 8 across the 1 of their papers we have counts for

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1 paper

cs.LG2013★ 8 cited

A game-theoretic framework for classifier ensembles using weighted majority voting with local accuracy estimates

Harris V. Georgiou, Michael E. Mavroforakis

In this paper, a novel approach for the optimal combination of binary classifiers is proposed. The classifier combination problem is approached from a Game Theory perspective. The…