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Face Recognition Based on Separable Lattice HMMS., , , , and . ICASSP (5), page 737-740. IEEE, (2006)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)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.Factorial hidden Markov models, , and . Machine learning, 29 (2-3): 245--273 (1997)Imitation networks: Few-shot learning of neural networks from scratch., , , , and . CoRR, (2018)Unsupervised Many-to-Many Object Matching for Relational Data., , and . IEEE Trans. Pattern Anal. Mach. Intell., 38 (3): 607-617 (2016)Latent-Space Variational Bayes., , and . IEEE Trans. Pattern Anal. Mach. Intell., 30 (12): 2236-2242 (2008)Bayesian Support Vector Machines for Feature Ranking and Selection., , , and . Feature Extraction, volume 207 of Studies in Fuzziness and Soft Computing, Springer, (2006)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)