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Modeling Transfer Learning in Human Categorization with the Hierarchical Dirichlet Process.

, , and . ICML, page 151-158. Omnipress, (2010)

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FILL ME, and . (2009)Randomness and coincidences: Reconciling intuition and probability theory, and . Proceedings of the Twenty-Third Annual Conference of the Cognitive Science Society, (2001)The nested Chinese restaurant process and Bayesian inference of topic hierarchies, , and . arXiv:0710.0845v2 stat.ML, (March 2008)Unifying Rational Models of Categorization via the Hierarchical Dirichlet Process, , , and . Proceedings of the Annual Conference of the Cognitive Science Society, 29, (2007)Adaptor Grammars: A Framework for Specifying Compositional Nonparametric Bayesian Models, , and . Advances in Neural Information Processing Systems (NIPS), (2007)A Nonparametric Bayesian Method for Inferring Features from Similarity Judgments, and . Advances in Neural Information Processing Systems (NIPS), (2007)Producing Power-Law Distributions and Damping Word Frequencies with Two-Stage Language Models., , and . J. Mach. Learn. Res., (2011)Cognitive Science as a Source of Forward and Inverse Models of Human Decisions for Robotics and Control., and . Annu. Rev. Control. Robotics Auton. Syst., (2022)The Challenges of Large-Scale, Web-Based Language Datasets: Word Length and Predictability Revisited., and . Cogn. Sci., (2021)The Computational Challenges of Means Selection Problems: Network Structure of Goal Systems Predicts Human Performance., , , , and . Cogn. Sci., (August 2023)