Optimal linear regression on classifier outputs - Archive ouverte HAL
Communication Dans Un Congrès Année : 1997

Optimal linear regression on classifier outputs

Résumé

We consider the combination of the outputs of several classifiers trained independently for the same discrimination task. We introduce new results which provide optimal solutions in the case of linear combinations. We compare our solutions to existing ensemble methods and characterize situations where our approach should be preferred.

Dates et versions

hal-01649040 , version 1 (27-11-2017)

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Yann Guermeur, Florence d'Alché-Buc, Patrick Gallinari. Optimal linear regression on classifier outputs. ICANN'97 - 7th International Conference of Artificial Neural Networks, Oct 1997, Lausanne, Switzerland. pp.481-486, ⟨10.1007/BFb0020201⟩. ⟨hal-01649040⟩
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