The ICON Challenge on Algorithm Selection

Kotthoff, Lars; Hurley, Barry; O'Sullivan, Barry

doi:10.1609/aimag.v38i2.2722

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dc.contributor.author	Kotthoff, Lars
dc.contributor.author	Hurley, Barry
dc.contributor.author	O'Sullivan, Barry
dc.date.accessioned	2017-11-16T12:23:41Z
dc.date.available	2017-11-16T12:23:41Z
dc.date.issued	2017
dc.identifier.citation	Kotthoff, 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.v38i2.2722	en
dc.identifier.volume	38	en
dc.identifier.volume	38
dc.identifier.issued	2	en
dc.identifier.issued	2
dc.identifier.startpage	91
dc.identifier.endpage	93
dc.identifier.issn	0738-4602
dc.identifier.uri	http://hdl.handle.net/10468/5057
dc.identifier.doi	10.1609/aimag.v38i2.2722
dc.description.abstract	Algorithm 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.format.mimetype	application/pdf	en
dc.language.iso	en	en
dc.publisher	Association for the Advancement of Artificial Intelligence	en
dc.rights	© 2017, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.	en
dc.subject	Algorithm selection	en
dc.title	The ICON Challenge on Algorithm Selection	en
dc.type	Article (peer-reviewed)	en
dc.internal.authorcontactother	Barry O'Sullivan, Computer Science, University College Cork, Cork, Ireland. +353-21-490-3000 Email: b.osullivan@cs.ucc.ie	en
dc.internal.availability	Full text available	en
dc.date.updated	2017-11-14T09:51:21Z
dc.description.version	Accepted Version	en
dc.internal.rssid	418794066
dc.contributor.funder	Seventh Framework Programme	en
dc.description.status	Peer reviewed	en
dc.identifier.journaltitle	AI Magazine	en
dc.internal.copyrightchecked	Yes	en
dc.internal.licenseacceptance	Yes	en
dc.internal.IRISemailaddress	b.osullivan@cs.ucc.ie	en
dc.relation.project	info:eu-repo/grantAgreement/EC/FP7::SP1::ICT/284715/EU/Inductive Constraint Programming/ICON	en