An effective approach for imbalanced classification: Unevenly balanced bagging

Liang, G and Cohn, AG (2013) An effective approach for imbalanced classification: Unevenly balanced bagging. In: desJardins, M and Littman, ML, (eds.) Proceedings of the 27th AAAI Conference on Artificial Intelligence, AAAI 2013. Twenty-Seventh AAAI Conference on Artificial Intelligence, 14-18 Jul 2013, Bellevue, Washington USA. AAAI Press , 1633 - 1634. ISBN 9781577356158

Abstract

Metadata

Item Type: Proceedings Paper
Authors/Creators:
  • Liang, G
  • Cohn, AG
Editors:
  • desJardins, M
  • Littman, ML
Copyright, Publisher and Additional Information:

(c) 2013, AAAI Press. This is an author produced version of a paper published in Proceedings of the 27th AAAI Conference on Artificial Intelligence, AAAI 2013. Uploaded with permission from the publisher.

Dates:
  • Published: 2013
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 18 Nov 2014 15:00
Last Modified: 19 Dec 2022 13:28
Published Version: http://www.aaai.org/Library/AAAI/aaai13contents.ph...
Status: Published
Publisher: AAAI Press
Open Archives Initiative ID (OAI ID):

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