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.
CITATION STYLE
Guermeur, Y., d’Alché-Buc, F., & Gallinari, P. (1997). Optimal linear regression on classifier outputs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1327, pp. 481–486). Springer Verlag. https://doi.org/10.1007/bfb0020201
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