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Adapting Deep Network Features to Capture Psychological Representations: An Abridged Report.

, , and . IJCAI, page 4934-4938. ijcai.org, (2017)

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Statistical models of learning and using semantic representations.. University of California, Berkeley, USA, (2016)base-search.net (ftcdlib:qt4f86w8q8).Adapting Deep Network Features to Capture Psychological Representations: An Abridged Report., , and . IJCAI, page 4934-4938. ijcai.org, (2017)Human memory search as a random walk in a semantic network., , and . NIPS, page 3050-3058. (2012)Birds and Words: Exploring environmental influences on folk categorization., and . CogSci, cognitivesciencesociety.org, (2020)Exploring the influence of particle filter parameters on order effects in causal learning., and . CogSci, cognitivesciencesociety.org, (2011)Random Walks on Semantic Networks Can Resemble Optimal Foraging, , and . Psychological Review, 122 (3): 558--569 (July 2015)Recommendation as Generalization: Evaluating Cognitive Models In the Wild., , and . CogSci, cognitivesciencesociety.org, (2018)Adapting Deep Network Features to Capture Psychological Representations., , and . CogSci, cognitivesciencesociety.org, (2016)Predicting focal colors with a rational model of representativeness., , and . CogSci, cognitivesciencesociety.org, (2012)Testing a Bayesian Measure of Representativeness Using a Large Image Database., , , and . NIPS, page 2321-2329. (2011)