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dc.contributor.authorManh, Truong Dang
dc.contributor.authorAnh, Vu Luong
dc.contributor.authorTuyet-Trinh, Vu
dc.contributor.authorQuoc, Viet Hung Nguyen
dc.contributor.authorTien, Thanh Nguyen
dc.contributor.authorStantic, Bela
dc.contributor.editorNguyen, NT
dc.contributor.editorHoang, DH
dc.contributor.editorHong, TP
dc.contributor.editorPham, H
dc.contributor.editorTrawinski, B
dc.date.accessioned2019-07-04T12:33:11Z
dc.date.available2019-07-04T12:33:11Z
dc.date.issued2018
dc.identifier.issn0302-9743
dc.identifier.doi10.1007/978-3-319-75417-8_54
dc.identifier.urihttp://hdl.handle.net/10072/379875
dc.description.abstractIn this paper, we propose using dynamic ensemble selection (DES) method on ensemble generated based on random projection. We first construct the homogeneous ensemble in which a set of base classifier is obtained by a learning algorithm on different training schemes generated by projecting the original training set to lower dimensional down spaces. We then develop a DES method on those base classifiers so that a subset of base classifiers is selected to predict label for each test sample. Here competence of a classifier is evaluated based on its prediction results on the test sample’s k− nearest neighbors obtaining from the projected data of validation set. Our proposed method, therefore, gains the benefits not only from the random projection in dimensionality reduction and diverse training schemes generation but also from DES method in choosing an appropriate subset of base classifiers for each test sample. The experiments conducted on some datasets selected from four different sources indicate that our framework is better than many state-of-the-art DES methods concerning to classification accuracy.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherSpringer
dc.publisher.placeGermany
dc.relation.ispartofpagefrom576
dc.relation.ispartofpageto586
dc.relation.ispartofjournalLecture Notes in Computer Science
dc.relation.ispartofvolume10751
dc.subject.fieldofresearchInformation systems not elsewhere classified
dc.subject.fieldofresearchInformation and computing sciences
dc.subject.fieldofresearchcode460999
dc.subject.fieldofresearchcode46
dc.titleAn Ensemble System with Random Projection and Dynamic Ensemble Selection
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.hasfulltextNo Full Text
gro.griffith.authorStantic, Bela
gro.griffith.authorNguyen, Henry


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