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Unsupervised Fuzzy Measure Learning for Classifier Ensembles From Coalitions Performance

In Machine Learning an ensemble refers to the combination of several classifiers with the objective of improving the performance of every one of its counterparts. To design an ensemble two main aspects must be considered: how to create a diverse set of classifiers and how to combine their outputs. T...

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Autores principales: Mikel Uriz, Daniel Paternain, Iris Dominguez-Catena, Humberto Bustince, Mikel Galar
Formato: Artigo
Lenguaje:Inglês
Publicado: IEEE 2020-01-01
Colección:IEEE Access
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Acceso en línea:https://ieeexplore.ieee.org/document/9036962/
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