The ICON Challenge on Algorithm Selection

Show simple item record Kotthoff, Lars Hurley, Barry O'Sullivan, Barry 2017-11-16T12:23:41Z 2017-11-16T12:23:41Z 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.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 ( 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: en
dc.internal.availability Full text available en 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 en
dc.relation.project info:eu-repo/grantAgreement/EC/FP7::SP1::ICT/284715/EU/Inductive Constraint Programming/ICON en

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