Paying Attention to Relevant Dimensions: A Localist Approach

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Abstract

Localist 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.
Original languageEnglish
Title of host publicationConnectionist models of learning, development and evolution
Subtitle of host publicationProceedings of the 6th Neural Computation and Psychology Workshop
EditorsRobert M French, Jacques P Sougne
PublisherSpringer Nature
Pages105-112
Number of pages8
ISBN (Print)1852333545, 9781852333546
Publication statusPublished - 2001
Event6th Neural Computation and Psychology Workshop - Liege, Belgium
Duration: 16 Sept 200018 Sept 2000

Workshop

Workshop6th Neural Computation and Psychology Workshop
Country/TerritoryBelgium
CityLiege
Period16/09/0018/09/00

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