The ICON Challenge on Algorithm Selection

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dc.contributor.authorKotthoff, Lars
dc.contributor.authorHurley, Barry
dc.contributor.authorO'Sullivan, Barry
dc.contributor.funderSeventh Framework Programmeen
dc.date.accessioned2017-11-16T12:23:41Z
dc.date.available2017-11-16T12:23:41Z
dc.date.issued2017
dc.date.updated2017-11-14T09:51:21Z
dc.description.abstractAlgorithm selection is of increasing practical relevance in a variety of applications. Many approaches have been proposed in the literature, but their evaluations are often not comparable, making it hard to judge which approaches work best. The ICON Challenge on Algorithm Selection objectively evaluated many prominent approaches from the literature, making them directly comparable for the first time. The results show that there is still room for improvement, even for the very best approaches.en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationKotthoff, L., Hurley, B. and O'Sullivan, B. (2017) 'The ICON Challenge on Algorithm Selection', AI Magazine, 38(2), pp. 91-93. doi:10.1609/aimag.v38i2.2722en
dc.identifier.doi10.1609/aimag.v38i2.2722
dc.identifier.endpage93
dc.identifier.issn0738-4602
dc.identifier.issued2en
dc.identifier.issued2
dc.identifier.journaltitleAI Magazineen
dc.identifier.startpage91
dc.identifier.urihttps://hdl.handle.net/10468/5057
dc.identifier.volume38en
dc.identifier.volume38
dc.language.isoenen
dc.publisherAssociation for the Advancement of Artificial Intelligenceen
dc.relation.projectinfo:eu-repo/grantAgreement/EC/FP7::SP1::ICT/284715/EU/Inductive Constraint Programming/ICONen
dc.rights© 2017, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.en
dc.subjectAlgorithm selectionen
dc.titleThe ICON Challenge on Algorithm Selectionen
dc.typeArticle (peer-reviewed)en
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