Adaptive decision making systems

Given a population of classifiers, we consider the problem of designing highly compact and error adaptive decision making systems. A selection approach based on misclassification diversity and potential cooperation among classifiers is proposed. The compactness constraint allows us the efficient imp...

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Detalles Bibliográficos
Autores principales: Bulacio, Pilar, Magdalena, Luis, Tapia, Elizabeth
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2005
Materias:
Ciencias Informáticas
scalability
multiclassifier system
fuzzy integral
Logic Programming
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/22982
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

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