A Theoretical Framework on the Ideal Number of Classifiers for Online Ensembles in Data Streams
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Hamed R. Bonab, Fazli Can
A Theoretical Framework on the Ideal Number of Classifiers for Online Ensembles in Data Streams
CIKM, 2016.

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@inproceedings{CIKM-2016-BonabC,
	author        = "Hamed R. Bonab and Fazli Can",
	booktitle     = "{Proceedings of the 25th ACM International Conference on Information and Knowledge Management}",
	doi           = "10.1145/2983323.2983907",
	isbn          = "978-1-4503-4073-1",
	pages         = "2053--2056",
	publisher     = "{ACM}",
	title         = "{A Theoretical Framework on the Ideal Number of Classifiers for Online Ensembles in Data Streams}",
	year          = 2016,
}

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