When Classification becomes a Problem: Using Branch-and-Bound to Improve Classification Efficiency
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Armand Prieditis, Moontae Lee
When Classification becomes a Problem: Using Branch-and-Bound to Improve Classification Efficiency
MLDM, 2013.

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@inproceedings{MLDM-2013-PrieditisL,
	author        = "Armand Prieditis and Moontae Lee",
	booktitle     = "{Proceedings of the Ninth International Conference on Machine Learning and Data Mining in Pattern Recognition}",
	doi           = "10.1007/978-3-642-39712-7_36",
	isbn          = "978-3-642-39711-0",
	pages         = "466--480",
	publisher     = "{Springer International Publishing}",
	series        = "{Lecture Notes in Computer Science}",
	title         = "{When Classification becomes a Problem: Using Branch-and-Bound to Improve Classification Efficiency}",
	volume        = 7988,
	year          = 2013,
}

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