An efficient ordering-based ensemble pruning algorithm via dynamic programming
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
http://link.springer.com/content/pdf/10.1007/s10489-015-0729-z.pdf
Reference35 articles.
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3. Margineantu D, Dietterich T (1997) Pruning adaptive boosting. In: Proceedings of the 14th international conference on machine learning
4. Prodromidis AL, Stolfo SJ (2001) Cost complexity-based pruning of ensemble classifiers. Knowl Inf Syst 3:449–469
5. Partalas I, Tsoumakas G, Vlahavas I (2010) An ensemble uncertainty aware measure for directed hill climbing ensemble pruning. Mach Learn 81:257–282
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