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dc.contributor.authorPage, M.P.A.
dc.contributor.editorFrench, Robert M
dc.contributor.editorSougne, Jacques P
dc.date.accessioned2012-01-24T11:01:07Z
dc.date.available2012-01-24T11:01:07Z
dc.date.issued2001
dc.identifier.citationPage , M P A 2001 , Paying Attention to Relevant Dimensions : A Localist Approach . in R M French & J P Sougne (eds) , Connectionist models of learning, development and evolution : Proceedings of the 6th Neural Computation and Psychology Workshop . Springer Nature , pp. 105-112 , 6th Neural Computation and Psychology Workshop , Liege , Belgium , 16/09/00 .
dc.identifier.citationworkshop
dc.identifier.isbn1852333545
dc.identifier.isbn9781852333546
dc.identifier.otherBibtex: urn:ef0b06c475894b53015551779c579a3f
dc.identifier.urihttp://hdl.handle.net/2299/7709
dc.descriptionMichael Page, ‘Paying Attention to Relevant Dimensions: A Localist Approach’, in Robert M. French and Jacques P. Sougne, eds., Connectionist models of learning, development and evolution, Proceedings of the 6th Neural Computation and Psychology Workshop, 16 – 18 September 2000, Liege, Belgium. ISBN 1852333545.
dc.description.abstractLocalist models of, for example, the classification of multidimensional stimuli, can run into problems if generalization is attempted when many of the stimulus dimensions are irrelevant to the classification task in hand. A procedure is suggested by representations that focus on the relevant dimensions only. These permit good generalization which would be lacking in a simple exemplar-based model.en
dc.format.extent8
dc.format.extent59677
dc.language.isoeng
dc.publisherSpringer Nature
dc.relation.ispartofConnectionist models of learning, development and evolution
dc.titlePaying Attention to Relevant Dimensions : A Localist Approachen
dc.contributor.institutionHealth & Human Sciences Research Institute
dc.contributor.institutionSchool of Life and Medical Sciences
dc.contributor.institutionDepartment of Psychology
dc.contributor.institutionPsychology
dc.contributor.institutionLearning, Memory and Thinking
dc.description.statusNon peer reviewed
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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