Word Learning by a Extended BAM Network

Abstract

Word learning has been a hot issue in cognitive science for many years. So far there are mainly two theories on it, hypothesis elimination and associative learning, yet none of them could explain the recognized experiments approvingly. By integrating advantages of these two approaches, a Bayesian inference framework was proposed recently, which fits some… (More)
DOI: 10.1109/ICNC.2009.373

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