A lazy bagging approach to classification

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dc.contributor.author Zhu, X
dc.contributor.author Yang, Y
dc.date.accessioned 2012-02-02T09:00:44Z
dc.date.issued 2008-01
dc.identifier.citation Pattern Recognition, 2008, 41 (10), pp. 2980 - 2992
dc.identifier.issn 0031-3203
dc.identifier.other C1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/15064
dc.description.abstract in this paper, we propose lazy bagging (LB), which builds bootstrap replicate bags based on the characteristics of test instances. Upon receiving a test instance X-k, LB trims bootstrap bags by taking into consideration X-k's nearest neighbors in the tra
dc.publisher Pergamon-Elsevier Science Ltd
dc.relation.isbasedon 10.1016/j.patcog.2008.03.008
dc.title A lazy bagging approach to classification
dc.type Journal Article
dc.description.version Published
dc.parent Pattern Recognition
dc.journal.volume 10
dc.journal.volume 41
dc.journal.number 10 en_US
dc.publocation Oxford en_US
dc.identifier.startpage 2980 en_US
dc.identifier.endpage 2992 en_US
dc.cauo.name FEIT.Faculty of Engineering & Information Technology en_US
dc.conference Verified OK en_US
dc.for 0801 Artificial Intelligence and Image Processing
dc.personcode 107283
dc.percentage 100 en_US
dc.classification.name Artificial Intelligence and Image Processing en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords classification; classifier ensemble; bagging; lazy learning en_US
dc.description.keywords Science & Technology
dc.description.keywords Technology
dc.description.keywords Construction & Building Technology
dc.description.keywords Materials Science, Multidisciplinary
dc.description.keywords Materials Science
dc.description.keywords CONSTRUCTION & BUILDING TECHNOLOGY
dc.description.keywords MATERIALS SCIENCE, MULTIDISCIPLINARY
dc.description.keywords UNCRACKED CONCRETE
dc.description.keywords JOINTS
dc.description.keywords ANCHORS
dc.description.keywords classification
dc.description.keywords classifier ensemble
dc.description.keywords bagging
dc.description.keywords lazy learning
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Strength - Quantum Computation and Intelligent Systems
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
utslib.collection.history Closed (ID: 3)


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