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Results 31-40 of 66 (Search time: 0.002 seconds).
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PreviewIssue DateTitleAuthor(s)
2016Structure at every scale: a semantic network account of the similarities between unrelated conceptsDe Deyne, S.; Navarro, D.; Perfors, A.; Storms, G.
2014The relevance of labels in semi-supervised learning depends on category structureVong, W.K.; Perfors, A.; Navarro, D.J.; 36th Annual Meeting of the Cognitive Science Society (CogSci 2014) (23 Jul 2014 - 26 Jul 2014 : Quebec City, Canada)
2017A cognitive analysis of deception without lyingRansom, K.; Voorspoels, W.; Perfors, A.; Navarro, D.; The 39th Annual Meeting of the Cognitive Science Society (COGSCI 2017) (26 Jul 2017 - 29 Jul 2017 : London, UK)
2014People are sensitive to hypothesis sparsity during category discriminationLangsford, S.; Hendrickson, A.; Perfors, A.; Navarro, D.; 36th Annual Meeting of the Cognitive Science Society (CogSci 2014) (23 Jul 2014 - 26 Jul 2014 : Quebec City, Canada)
2016Sensitivity to hypothesis size during information searchHendrickson, A.T.; Navarro, D.J.; Perfors, A.
2009Learning time-varying categoriesNavarro, D.; Perfors, A.; Annual Conference of the Cognitive Science Society (31st : 2009 : Amsterdam, The Netherlands)
2011Enlightenment grows from fundamentalsNavarro, D.; Perfors, A.
2017Bayesian models of cognition revisited: setting optimality aside and letting data drive psychological theoryTauber, S.; Navarro, D.; Perfors, A.; Steyvers, M.
2019Do additional features help or hurt category learning? The curse of dimensionality in human learnersVong, W.K.; Hendrickson, A.T.; Navarro, D.J.; Perfors, A.
2019Cross-situational learning in a Zipfian environmentHendrickson, A.T.; Perfors, A.

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