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G-Maximization: An Unsupervised Learning Procedure for Discovering Regularities

, and . Neural Networks for Computing: American Institute of Physics Conference Proceedings 151, 2, page 333--338. (1986)

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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)Learning mixture models of spatial coherence, and . Neural Computation, 5 (2): 267--277 (1993)Variational learning for switching state-space models, and . Neural Computation, (1998)Experiments on learning back propagation, , and . CMU--CS--86--126. Carnegie--Mellon University, Pittsburgh, PA, (1986)A learning algorithm for Boltzmann machines, , and . Cognitive Science, (1985)Keeping neural networks simple, and . Proceedings of the International Conference on Artificial Neural Networks, Amsterdam, page 11--18. Springer, (1993)The Helmholtz machine, , , and . Neural Computation, (1995)Spatial Coherence as an Internal Teacher for a Neural Network, and . CRG-TR-89-7. Department of Computer Science, University of Toronto, Ontario, (1989)A self-organizing neural network that discovers surfaces in random-dot stereograms., and . Nature, (1992)G-Maximization: An Unsupervised Learning Procedure for Discovering Regularities, and . Neural Networks for Computing: American Institute of Physics Conference Proceedings 151, 2, page 333--338. (1986)