Publication:

MFITS: Bayesian active learning with support for continuous fidelity parameters and variable cost

Date

2019
Proceedings Paper
Simple item page Full metadata Statistics
 
dc.contributor.authorKnudde, Nicolas
dc.contributor.authorCouckuyt, Ivo
dc.contributor.authorDhaene, Tom
dc.contributor.imecauthorKnudde, Nicolas
dc.contributor.imecauthorCouckuyt, Ivo
dc.contributor.imecauthorDhaene, Tom
dc.contributor.orcidimecCouckuyt, Ivo::0000-0002-9524-4205
dc.contributor.orcidimecDhaene, Tom::0000-0003-2899-4636
dc.date.accessioned2021-10-27T11:35:00Z
dc.date.available2021-10-27T11:35:00Z
dc.date.embargo9999-12-31
dc.date.issued2019
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/33307
dc.source.beginpage1
dc.source.conference6th ICML Workshop on Automated Machine Learning
dc.source.conferencedate9/06/2019
dc.source.conferencelocationLong Beach, CA USA
dc.source.endpage8
dc.title

MFITS: Bayesian active learning with support for continuous fidelity parameters and variable cost

dc.typeProceedings paper
dspace.entity.typePublication
Files

Original bundle

Name:
42404.pdf
Size:
413.31 KB
Format:
Adobe Portable Document Format
Download
Publication available in collections:
Conference contributions