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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Bibliographic Details
Main Authors: Mikel Uriz, Daniel Paternain, Iris Dominguez-Catena, Humberto Bustince, Mikel Galar
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9036962/