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Modeling and Visualizing Uncertainty in Gene Expression Clusters Using Dirichlet Process Mixtures., , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 6 (4): 615-628 (2009)Face Recognition Based on Separable Lattice HMMS., , , , and . ICASSP (5), page 737-740. IEEE, (2006)An Introduction to Variational Methods for Graphical Models., , , and . Mach. Learn., 37 (2): 183-233 (1999)Bayesian Support Vector Machines for Feature Ranking and Selection., , , and . Feature Extraction, volume 207 of Studies in Fuzziness and Soft Computing, Springer, (2006)Discovering transcriptional modules by Bayesian data integration., , , , and . Bioinform., 26 (12): 158-167 (2010)Variational Bayesian dropout: pitfalls and fixes, , and . Proceedings of the 35th International Conference on Machine Learning, volume 80 of Proceedings of Machine Learning Research, page 2019--2028. Stockholmsmässan, Stockholm Sweden, PMLR, (10--15 Jul 2018)Neural Diffusion Processes., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 8990-9012. PMLR, (2023)Tree-Structured Stick Breaking for Hierarchical Data., , and . NIPS, page 19-27. Curran Associates, Inc., (2010)Active Learning with Statistical Models., , and . NIPS, page 705-712. MIT Press, (1994)Variational Inference for Bayesian Mixtures of Factor Analysers., and . NIPS, page 449-455. The MIT Press, (1999)