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Learning to Control an Unstable System with Forward Modeling, and . Proc. of the 1990 Connectionist Models Summer School, Morgan Kaufmann, (1990)Hierarchical models, nested models, and completely random measures. Frontiers of Statistical Decision Making and Bayesian Analysis: In Honor of James O. Berger, Springer, New York, NY, (2010)An introduction to variational methods for graphical models, , , and . Technical Report, MIT Computational Cognitive Science, (1997)Machine learning: Trends, perspectives, and prospects, and . Science, 349 (6245): 255-260 (2015)Attractor Dynamics and Parallelism in a Connectionist Sequential Machine. Proceedings of the 8th Annular Conference Cognitive Science Society, (1986)Hierarchical topic models and the nested Chinese restaurant process, , , and . Advances in Neural Information Processing Systems 16, MIT Press, Cambridge, MA, (2004)An internal model for sensorimotor integration, , and . Science, (1995)Hierarchical Beta processes and the Indian buffet process, and . Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS 2007), page 564-571. San Juan, Puerto Rico, Omnipress, (2007)Neural Networks, and . CRC Handbook of Computer Science, CRC Press, Boca Raton, Florida, (1996)Generic Constraints on Underspecified Target Trajectories. IEEE/INNS International Joint Conference on Neural Networks, San Diego, 1, (1989)