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Deep Belief Networks for phone recognition

, , and . NIPS 22 workshop on deep learning for speech recognition, (2009)

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Deep Belief Networks for phone recognition, , and . NIPS 22 workshop on deep learning for speech recognition, (2009)Feudal Reinforcement Learning, and . Advances in Neural Information Processing Systems 5, page 271--278. Morgan Kaufmann, (1993)Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups, , , , , , , , , and 1 other author(s). IEEE Signal Process. Mag., 29 (6): 82-97 (2012)An Unsupervised Learning Procedure That Discovers Surfaces in Random-Dot Stereograms, and . Proc. IEEE/INNS International Joint Conference on Neural Networks, 1, page 218--222. Hillsdale, NJ. Erlbaum, (1990)Developing population codes by minimizing description length, and . Advances in Neural Information Processing Systems 6, Morgan Kaufmann, San Francisco, CA, (1994)Parallel Distributed Processing: Explorations in the Microstructure of Cognition, Vol. 1, , and . chapter Learning Internal Representations by Error Propagation, MIT Press, Cambridge, MA, USA, (1986)Discovering Viewpoint-Invariant Relationships That Characterize Objects, and . Advances in Neural Information Processing Systems 3, page 299--305. Morgan Kaufmann, (1991)Generative Models for Discovering Sparse Distributed Representations, and . University of Toronto, Department of Computer Science, Toronto, Ontario, M5S 1A4, Canada, (1997)Visualizing High-Dimensional Data Using t-SNE, and . J. Mach. Learn. Res., (2008)Autoencoders, Minimum Description Length and Helmholtz Free Energy, and . Advances in Neural Information Processing Systems 6, page 3--10. Morgan Kaufmann, (1994)