Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/2344
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dc.contributor.authorPhelps, R I-
dc.contributor.authorMusgrove, P B-
dc.coverage.spatial18en
dc.date.accessioned2008-06-03T15:16:35Z-
dc.date.available2008-06-03T15:16:35Z-
dc.date.issued1985-
dc.identifier.citationMaths Technical Papers (Brunel University). January 1985, pp 1-18en
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/2344-
dc.description.abstractThis paper reports work on a model of machine learning which is based on the psychological theory of prototypical concepts. This theory is that concepts learnt naturally from interaction with the environment (basic categories) are not structured or defined in logical terms but are clustered in accordance with their similarity to a central prototype, representing the "most typical'' member.en
dc.format.extent107138 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.publisherBrunel Universityen
dc.relation.ispartofBrunel University Mathematics Technical Papers collection;-
dc.relation.ispartofseries;TR/03/85-
dc.subjectlearningen
dc.subjectcategorizationen
dc.subjectprototypesen
dc.subjectknowledge representationen
dc.titleKnowledge representation for basic visual categoriesen
dc.typeResearch Paperen
Appears in Collections:Dept of Mathematics Research Papers
Mathematical Sciences

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