Preference inference through rescaling preference learning

Show simple item record Wilson, Nic Montazery, Mojtaba 2017-05-12T08:25:50Z 2017-05-12T08:25:50Z 2016
dc.identifier.citation Wilson, N. and Montazery, M. (2016) ‘Preference inference through rescaling preference learning’, in Proceedings of the 25th International Joint Conference on Artificial Intelligence, New York City, 9-15 July. International Joint Conferences on Artificial Intelligence Organization, pp. 2203-2209. en
dc.identifier.startpage 2203 en
dc.identifier.endpage 2209 en
dc.identifier.isbn 978-1-57735-770-4
dc.description.abstract One approach to preference learning, based on linear support vector machines, involves choosing a weight vector whose associated hyperplane has maximum margin with respect to an input set of preference vectors, and using this to compare feature vectors. However, as is well known, the result can be sensitive to how each feature is scaled, so that rescaling can lead to an essentially different vector. This gives rise to a set of possible weight vectorsâ which we call the rescale-optimal onesâ considering all possible rescalings. From this set one can define a more cautious preference relation, in which one vector is preferred to another if it is preferred for all rescale-optimal weight vectors. In this paper, we analyse which vectors are rescale-optimal, and when there is a unique rescale-optimal vector, and we consider how to compute the induced preference relation. en
dc.description.uri en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher International Joint Conferences on Artificial Intelligence Organization en
dc.relation.ispartof 25th International Joint Conference on Artificial Intelligence
dc.relation.ispartof Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence
dc.rights © 2016, International Joint Conferences on Artificial Intelligence. All rights reserved. en
dc.rights.uri en
dc.subject Rescale-optimal en
dc.subject Vector en
dc.title Preference inference through rescaling preference learning en
dc.type Conference item en
dc.internal.authorcontactother Nic Wilson, Computer Science, University College Cork, Cork, Ireland. +353-21-490-3000 Email: en
dc.internal.availability Full text available en 2017-05-11T12:16:35Z
dc.description.version Published Version en
dc.internal.rssid 394616067
dc.contributor.funder Science Foundation Ireland en
dc.description.status Not peer reviewed en
dc.internal.copyrightchecked Yes en
dc.internal.licenseacceptance Yes en
dc.internal.conferencelocation New York City en
dc.internal.IRISemailaddress en
dc.relation.project info:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2289/IE/INSIGHT - Irelands Big Data and Analytics Research Centre/ en

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