A sequential sampling strategy for adaptive classification of computationally expensive data

dc.contributor.author	Singh, Prashant
dc.contributor.author	van der Herten, Joachim
dc.contributor.author	Deschrijver, Dirk
dc.contributor.author	Couckuyt, Ivo
dc.contributor.author	Dhaene, Tom
dc.contributor.imecauthor	van der Herten, Joachim
dc.contributor.imecauthor	Deschrijver, Dirk
dc.contributor.imecauthor	Couckuyt, Ivo
dc.contributor.imecauthor	Dhaene, Tom
dc.contributor.orcidimec	Deschrijver, Dirk::0000-0001-6600-1792
dc.contributor.orcidimec	Couckuyt, Ivo::0000-0002-9524-4205
dc.contributor.orcidimec	Dhaene, Tom::0000-0003-2899-4636
dc.date.accessioned	2021-10-24T13:39:22Z
dc.date.available	2021-10-24T13:39:22Z
dc.date.embargo	9999-12-31
dc.date.issued	2017-04
dc.identifier.issn	1615-147X
dc.identifier.uri	https://imec-publications.be/handle/20.500.12860/29447
dc.identifier.url	https://rd.springer.com/article/10.1007/s00158-016-1584-1
dc.source.beginpage	1425
dc.source.endpage	1438
dc.source.issue	4
dc.source.journal	Structural and Multidisciplinary Optimization
dc.source.volume	55
dc.title	A sequential sampling strategy for adaptive classification of computationally expensive data
dc.type	Journal article
dspace.entity.type	Publication
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