SVMpAUCtight: a new support vector method for optimizing partial AUC based on a tight convex upper bound
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Harikrishna Narasimhan, Shivani Agarwal
SVMpAUCtight: a new support vector method for optimizing partial AUC based on a tight convex upper bound
KDD, 2013.

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@inproceedings{KDD-2013-NarasimhanA,
	author        = "Harikrishna Narasimhan and Shivani Agarwal",
	booktitle     = "{Proceedings of the 19th International Conference on Knowledge Discovery and Data Mining}",
	doi           = "10.1145/2487575.2487674",
	isbn          = "978-1-4503-2174-7",
	pages         = "167--175",
	publisher     = "{ACM}",
	title         = "{SVMpAUCtight: a new support vector method for optimizing partial AUC based on a tight convex upper bound}",
	year          = 2013,
}

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