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Optimal linear regression on classifier outputs

Yann Guermeur 1 Florence d'Alché-Buc 1 Patrick Gallinari 1 
1 APA - Apprentissage et Acquisition des connaissances
LIP6 - Laboratoire d'Informatique de Paris 6
Abstract : 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.
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https://hal.archives-ouvertes.fr/hal-01649040
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Submitted on : Monday, November 27, 2017 - 10:39:24 AM
Last modification on : Wednesday, January 12, 2022 - 3:47:19 AM

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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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