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Approximating Posterior Distributions in Belief Networks Using Mixtures.

, , , and . NIPS, page 416-422. The MIT Press, (1997)

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Robust Bayesian mixture modelling., and . Neurocomputing, (2005)Developments of the generative topographic mapping., , and . Neurocomputing, 21 (1-3): 203-224 (1998)Distinguishing text from graphics in on-line handwritten ink., , and . IWFHR, page 142-147. IEEE Computer Society, (2004)Probabilistic Modelling of Replica Divergence., , and . HotOS, page 55-60. IEEE Computer Society, (2001)Approximating Posterior Distributions in Belief Networks Using Mixtures., , , and . NIPS, page 416-422. The MIT Press, (1997)Regression with Input-Dependent Noise: A Bayesian Treatment., and . NIPS, page 347-353. MIT Press, (1996)Comparison of Generative and Discriminative Techniques for Object Detection and Classification., and . Toward Category-Level Object Recognition, volume 4170 of Lecture Notes in Computer Science, page 173-195. Springer, (2006)A Hierarchical Latent Variable Model for Data Visualization., and . IEEE Trans. Pattern Anal. Mach. Intell., 20 (3): 281-293 (1998)Students, Teachers, Exams and MOOCs: Predicting and Optimizing Attainment in Web-Based Education Using a Probabilistic Graphical Model., , , and . ECML/PKDD (3), volume 8726 of Lecture Notes in Computer Science, page 82-97. Springer, (2014)Real-Time Control of a Tokamak Plasma Using Neural Networks., , , , and . Neural Computation, 7 (1): 206-217 (1995)