Preference inference through rescaling preference learning

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dc.contributor.authorWilson, Nic
dc.contributor.authorMontazery, Mojtaba
dc.contributor.funderScience Foundation Irelanden
dc.date.accessioned2017-05-12T08:25:50Z
dc.date.available2017-05-12T08:25:50Z
dc.date.issued2016
dc.date.updated2017-05-11T12:16:35Z
dc.description.abstractOne 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.statusNot peer revieweden
dc.description.urihttp://ijcai-16.org/index.php/welcome/view/homeen
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationWilson, 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.endpage2209en
dc.identifier.isbn978-1-57735-770-4
dc.identifier.startpage2203en
dc.identifier.urihttps://hdl.handle.net/10468/3950
dc.language.isoenen
dc.publisherInternational Joint Conferences on Artificial Intelligence Organizationen
dc.relation.ispartof25th International Joint Conference on Artificial Intelligence
dc.relation.ispartofProceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2289/IE/INSIGHT - Irelands Big Data and Analytics Research Centre/en
dc.rights© 2016, International Joint Conferences on Artificial Intelligence. All rights reserved.en
dc.rights.urihttps://www.ijcai.org/contacten
dc.subjectRescale-optimalen
dc.subjectVectoren
dc.titlePreference inference through rescaling preference learningen
dc.typeConference itemen
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