Sensitivity to sampling in Bayesian word learning.

作者: Fei Xu , Joshua B. Tenenbaum

DOI: 10.1111/J.1467-7687.2007.00590.X

关键词: Sampling (statistics)PsychologyContext (language use)Artificial intelligenceAssociative propertySemanticsNatural language processingWord (computer architecture)Bayesian inferenceBayesian probabilityBayesian statisticsStatistics

摘要: We report a new study testing our proposal that word learning may be best explained as an approximate form of Bayesian inference (Xu & Tenenbaum, in press). Children are capable …

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