Combination, cooperation and selection of classifiers: a state of the art - Archive ouverte HAL
Article Dans Une Revue International Journal of Pattern Recognition and Artificial Intelligence Année : 2003

Combination, cooperation and selection of classifiers: a state of the art

Résumé

When several classifiers are brought to contribute to the same task of recognition, various strategies of decisions, implying these classifiers in different ways, are possible. A first strategy consists in deciding using different opinions: it corresponds to the combination of classifiers. A second strategy consists in using one or more opinions for better guiding other classifiers in their training stages, and/or to improve the decision-making of other classifiers in the classification stage: it corresponds to the cooperation of classifiers. The third and last strategy consists in giving more importance to one or more classifiers according to various criteria or situations: it corresponds to the selection of classifiers. The temporal aspect of Pattern Recognition (PR), i.e. the possible evolution of the classes to be recognized, can be treated by the strategy of selection.
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Dates et versions

hal-01434533 , version 1 (13-01-2017)

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Veyis Gunes, Michel Ménard, Pierre Loonis, Simon Petitrenaud. Combination, cooperation and selection of classifiers: a state of the art. International Journal of Pattern Recognition and Artificial Intelligence, 2003, 17 (8), pp.1303-1324. ⟨10.1142/S0218001403002897⟩. ⟨hal-01434533⟩
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