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Generative Models for Discovering Sparse Distributed Representations, and . University of Toronto, Department of Computer Science, Toronto, Ontario, M5S 1A4, Canada, (1997)Occam's razor, and . Advances in Neural Information Processing Systems 13, MIT Press, Cambridge, MA, (2001)Factorial learning and the EM algorithm. Advances in Neural Information Processing Systems 7, Morgan Kaufmann, San Francisco, CA, (1995)Infinite latent feature models and the Indian buffet process, and . Advances in Neural Information Processing Systems 18, Cambridge, MA, MIT Press, (2006)The Infinite Hidden Markov Model, , and . Advances in Neural Information Processing Systems 14, (2003)Semi--supervised learning using gaussian fields and harmonic functions, , and . Proceedings of the International Conference on Machine Learning, (2005)An introduction to variational methods for graphical models, , , and . Technical Report, MIT Computational Cognitive Science, (1997)A Uunifying Review of Linear Gaussian Models, and . Neural Computation, 11 (2): 305--345 (1999)Variational learning for switching state-space models, and . Neural Computation, (1998)An introduction to variational methods for graphical models, , , and . Learning in Graphical Models, MIT Press, (1999)