Listar Artículos de revista ISC - ISC aldizkari artikuluak por tema "Aggregation"
Mostrando ítems 1-2 de 2
-
A supervised fuzzy measure learning algorithm for combining classifiers
Uriz Martín, Mikel Xabier; Paternain Dallo, Daniel
; Bustince Sola, Humberto ; Galar Idoate, Mikel (Elsevier, 2023)
Artículo / Artikulua
Fuzzy measure-based aggregations allow taking interactions among coalitions of the input sources into account. Their main drawback when applying them in real-world problems, such as combining classifier ensembles, is how ... -
Unsupervised fuzzy measure learning for classifier ensembles from coalitions performance
Uriz Martín, Mikel Xabier ; Paternain Dallo, Daniel ; Domínguez Catena, Iris ; Bustince Sola, Humberto ; Galar Idoate, Mikel (IEEE, 2020)
Artículo / Artikulua 
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: ...
