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A Nonparametric Bayesian Approach to Modeling Overlapping Clusters.

, and . AISTATS, volume 2 of JMLR Proceedings, page 187-194. JMLR.org, (2007)

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An Introduction to Variational Methods for Graphical Models., , , and . Mach. Learn., 37 (2): 183-233 (1999)Modeling and Visualizing Uncertainty in Gene Expression Clusters Using Dirichlet Process Mixtures., , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 6 (4): 615-628 (2009)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)GPflow: A Gaussian process library using TensorFlow, , , , , , , and . (2016)cite arxiv:1610.08733.Bayesian Learning in Undirected Graphical Models: Approximate MCMC algorithms, and . CoRR, (2012)Kronecker Graphs: An Approach to Modeling Networks., , , , and . CoRR, (2008)Imitation networks: Few-shot learning of neural networks from scratch., , , , and . CoRR, (2018)A Nonparametric Bayesian Model for Multiple Clustering with Overlapping Feature Views., , and . AISTATS, volume 22 of JMLR Proceedings, page 814-822. JMLR.org, (2012)Gaussian Processes for time-marked time-series data., , and . AISTATS, volume 22 of JMLR Proceedings, page 255-263. JMLR.org, (2012)