FIRE-DES and FIRE-DES₊₊: dynamic classifier ensemble selection frameworks

Dynamic Ensemble Selection (DES) techniques aim to select only the most competent classifiers for the classification of each test sample. The key issue in DES is how to estimate the competence of classifiers for the classification of each new test sample. Most DES techniques estimate the competence...

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Main Author: OLIVEIRA, Dayvid Victor Rodrigues de
Other Authors: CAVALCANTI, George Darmiton da Cunha
Format: doctoralThesis
Language: por
Published: Universidade Federal de Pernambuco 2019
Subjects:
Online Access: https://repositorio.ufpe.br/handle/123456789/30974
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