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dc.contributor.advisorCunningham, Pádraig
dc.contributor.authorWall, Robert
dc.date.accessioned2019-07-30T15:02:26Z
dc.date.available2019-07-30T15:02:26Z
dc.date.issued2003
dc.identifier.citationRobert Wall, 'Explaining the output of ensembles on a case by case basis', [thesis], Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2003, pp 138
dc.identifier.otherTHESIS 7322
dc.description.abstractThis thesis introduces a novel method for explaining the predictions of ensembles of artificial neural networks on a case by case basis. Current research is primarily directed towards building global model, that is, models that fully describe all possible input conditions and their associated outputs. The alternative case by case by case approach is referred to as local explanation. This thesis demonstrates a process for performing local explanation.
dc.format1 volume
dc.language.isoen
dc.publisherTrinity College (Dublin, Ireland). School of Computer Science & Statistics
dc.relation.isversionofhttp://stella.catalogue.tcd.ie/iii/encore/record/C__Rb12406469
dc.subjectComputer Science, Ph.D.
dc.subjectPh.D. Trinity College Dublin
dc.titleExplaining the output of ensembles on a case by case basis
dc.typethesis
dc.type.supercollectionthesis_dissertations
dc.type.supercollectionrefereed_publications
dc.type.qualificationlevelDoctoral
dc.type.qualificationnameDoctor of Philosophy (Ph.D.)
dc.rights.ecaccessrightsopenAccess
dc.format.extentpaginationpp 138
dc.description.noteTARA (Trinity's Access to Research Archive) has a robust takedown policy. Please contact us if you have any concerns: rssadmin@tcd.ie
dc.identifier.urihttp://hdl.handle.net/2262/89117


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