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Gureckis, Todd M.; Love, Bradley C. – Infancy, 2004
Computational models of infant categorization often fail to elaborate the transitional mechanisms that allow infants to achieve adult performance. In this article, we apply a successful connectionist model of adult category learning to developmental data. The Supervised and Unsupervised Stratified Adaptive Incremental Network (SUSTAIN) model is…
Descriptors: Infants, Classification, Adult Learning, Computation