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A new approach to data driven clustering.

, and . ICML, volume 148 of ACM International Conference Proceeding Series, page 57-64. ACM, (2006)

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Factorial hidden Markov models, , and . Machine learning, 29 (2-3): 245--273 (1997)Parameter Estimation for Linear Dynamical Systems, and . CRG-TR-96-2. Department of Computer Science, University of Toronto, (Feb 22, 1996)Factorial Mixture of Gaussians and the Marginal Independence Model., and . AISTATS, volume 5 of JMLR Proceedings, page 520-527. JMLR.org, (2009)Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning., and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 1050-1059. JMLR.org, (2016)Dynamic Probabilistic Models for Latent Feature Propagation in Social Networks., and . ICML (1), volume 28 of JMLR Workshop and Conference Proceedings, page 275-283. JMLR.org, (2013)Magnetic Hamiltonian Monte Carlo., , , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 3453-3461. PMLR, (2017)A Birth-Death Process for Feature Allocation., , and . ICML, volume 70 of Proceedings of Machine Learning Research, page 2751-2759. PMLR, (2017)A Nonparametric Bayesian Approach to Modeling Overlapping Clusters., and . AISTATS, volume 2 of JMLR Proceedings, page 187-194. JMLR.org, (2007)Analogical Reasoning with Relational Bayesian Sets., , and . AISTATS, volume 2 of JMLR Proceedings, page 500-507. JMLR.org, (2007)Bayesian Support Vector Machines for Feature Ranking and Selection., , , and . Feature Extraction, volume 207 of Studies in Fuzziness and Soft Computing, Springer, (2006)