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dc.contributor.authorNguyen, TT
dc.contributor.authorLiew, AWC
dc.contributor.authorTran, MT
dc.contributor.authorThu Thuy Nguyen, T
dc.contributor.authorNguyen, MP
dc.contributor.editorX. Wang, W. Pedrycz, P. Chan, Q. He
dc.date.accessioned2017-10-20T02:48:50Z
dc.date.available2017-10-20T02:48:50Z
dc.date.issued2014
dc.identifier.isbn9783662456514
dc.identifier.issn1865-0929
dc.identifier.refurihttp://www.icmlc.com/ICMLC/formerICMLC_2014.html
dc.identifier.doi10.1007/978-3-662-45652-1_7
dc.identifier.urihttp://hdl.handle.net/10072/66970
dc.description.abstractThe paper introduces a novel 2-Stage model for multi-classifier system. Instead of gathering posterior probabilities resulted from base classifiers into Level1 data like in the original 2-Stage model, here we separate data in K Level1 matrices corresponding to the K base classifiers. These data matrices, in turn, are classified in sequence by a new classifier at the second stage to generate Level2 data. Next, Weight Matrix is proposed to combine Level2 data and predict label of observations in test set. Experimental results on CLEF2009 medical image database demonstrate the benefit of our model in comparison with several ensemble learning models.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.publisherSpringer
dc.publisher.placeGermany
dc.publisher.urihttp://www.icmlc.com/ICMLC/formerICMLC_2014.html
dc.relation.ispartofstudentpublicationY
dc.relation.ispartofconferencenameICMLC 2014
dc.relation.ispartofconferencetitleCommunications in Computer and Information Science
dc.relation.ispartofdatefrom2014-07-13
dc.relation.ispartofdateto2014-07-16
dc.relation.ispartoflocationLanzhou, China
dc.relation.ispartofpagefrom60
dc.relation.ispartofpageto68
dc.relation.ispartofvolume481
dc.rights.retentionY
dc.subject.fieldofresearchExpert Systems
dc.subject.fieldofresearchcode080105
dc.titleFusion of Classifiers based on a Novel 2-Stage Model
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
dc.description.versionAccepted Manuscript (AM)
gro.facultyGriffith Sciences, School of Information and Communication Technology
gro.rights.copyright© 2014 Springer Berlin/Heidelberg. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. The original publication is available at www.springerlink.com
gro.hasfulltextFull Text
gro.griffith.authorLiew, Alan Wee-Chung


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    Contains papers delivered by Griffith authors at national and international conferences.

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