A Bayesian Latent Mixture Approach to Modeling Individual Differences in Categorization Using General Recognition Theory - researchr publication authors

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Irina Danileiko, Michael D. Lee, Michael L. Kalish. A Bayesian Latent Mixture Approach to Modeling Individual Differences in Categorization Using General Recognition Theory. In David C. Noelle, Rick Dale, Anne S. Warlaumont, Jeff Yoshimi, Teenie Matlock, Carolyn D. Jennings, Paul P. Maglio, editors, Proceedings of the 37th Annual Meeting of the Cognitive Science Society, CogSci 2015, Pasadena, California, USA, July 22-25, 2015. cognitivesciencesociety.org, 2015. [doi]

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