Multiobjective sparse ensemble learning by means of evolutionary algorithms

Ensemble learning can improve the performance of individual classifiers by combining their decisions. The sparseness of ensemble learning has attracted much attention in recent years. In this paper, a novel multiobjective sparse ensemble learning (MOSEL) model is proposed. Firstly, to describe the e...

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Detalhes bibliográficos
Autor principal: Zhao, J. (author)
Outros Autores: Jiao, L. (author), Xia, S. (author), Basto-Fernandes, V. (author), Yevseyeva, I. (author), Zhou, Y. (author), Emmerichd, M. T. M. (author)
Formato: article
Idioma:eng
Publicado em: 2018
Assuntos:
Ensemble learning
Sparse representation
Classification
Multiobjective optimization
Change detection
Texto completo:http://hdl.handle.net/10071/16649
País:Portugal
Oai:oai:repositorio.iscte-iul.pt:10071/16649

Texto Completo

http://hdl.handle.net/10071/16649

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