Considering diversity and accuracy simultaneously for ensemble pruning-Reference-Cited by-同舟云学术

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Considering diversity and accuracy simultaneously for ensemble pruning

Published:2017-09 Issue: Volume:58 Page:75-91
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Dai Qun^ORCID,Ye Rui,Liu Zhuan

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Software

Reference53 articles.

1. Ensemble diversity measures and their application to thinning;Banfield;Inf. Fusion,2005

2. Parallel random prism: a computationally efficient ensemble learner for classification;Stahl,2012

3. Ensemble methods in machine learning;Dietterich,2000

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