From dynamic classifier selection to dynamic ensemble selection-Reference-Cited by-同舟云学术

From dynamic classifier selection to dynamic ensemble selection

Published:2008-05 Issue:5 Volume:41 Page:1718-1731
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Ko Albert H.R.,Sabourin Robert,Britto, Jr. Alceu Souza

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference22 articles.

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3. Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy;Kuncheva;Mach. Learn.,2003

4. The random space method for constructing decision forests;Ho;IEEE Trans. Pattern Anal. Mach. Intell.,1998

5. A. Grove, D. Schuurmans, Boosting in the limit: maximizing the margin of learned ensembles, in: Proceedings of the 15th National Conference on Artificial Intelligence, 1998, pp. 692–699.

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