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dc.contributor.authorSingh, Prashant
dc.contributor.authorvan der Herten, Joachim
dc.contributor.authorDeschrijver, Dirk
dc.contributor.authorCouckuyt, Ivo
dc.contributor.authorDhaene, Tom
dc.date.accessioned2021-10-24T13:39:22Z
dc.date.available2021-10-24T13:39:22Z
dc.date.issued2017-04
dc.identifier.issn1615-147X
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/29447
dc.sourceIIOimport
dc.titleA sequential sampling strategy for adaptive classification of computationally expensive data
dc.typeJournal article
dc.contributor.imecauthorvan der Herten, Joachim
dc.contributor.imecauthorDeschrijver, Dirk
dc.contributor.imecauthorCouckuyt, Ivo
dc.contributor.imecauthorDhaene, Tom
dc.contributor.orcidimecDeschrijver, Dirk::0000-0001-6600-1792
dc.contributor.orcidimecCouckuyt, Ivo::0000-0002-9524-4205
dc.contributor.orcidimecDhaene, Tom::0000-0003-2899-4636
dc.date.embargo9999-12-31
dc.source.peerreviewyes
dc.source.beginpage1425
dc.source.endpage1438
dc.source.journalStructural and Multidisciplinary Optimization
dc.source.issue4
dc.source.volume55
dc.identifier.urlhttps://rd.springer.com/article/10.1007/s00158-016-1584-1
imec.availabilityPublished - open access


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