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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Bibliographic Details
Main Author: Zhao, J. (author)
Other Authors: Jiao, L. (author), Xia, S. (author), Basto-Fernandes, V. (author), Yevseyeva, I. (author), Zhou, Y. (author), Emmerichd, M. T. M. (author)
Format: article
Language:eng
Published: 2018
Subjects:
Ensemble learning
Sparse representation
Classification
Multiobjective optimization
Change detection
Online Access:http://hdl.handle.net/10071/16649
Country:Portugal
Oai:oai:repositorio.iscte-iul.pt:10071/16649

Internet

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

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