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Bayesian Methods for Artificial Intelligence and Machine Learning.. ECAI, том 178 из Frontiers in Artificial Intelligence and Applications, стр. 8. IOS Press, (2008)Factorial hidden Markov models, , и . Machine learning, 29 (2-3): 245--273 (1997)Parameter Estimation for Linear Dynamical Systems, и . CRG-TR-96-2. Department of Computer Science, University of Toronto, (22.02.1996)GPflow: A Gaussian process library using TensorFlow, , , , , , , и . (2016)cite arxiv:1610.08733.Imitation networks: Few-shot learning of neural networks from scratch., , , , и . CoRR, (2018)Advanced Mean Field Methods---Theory and Practice, и . глава Graphical models and variational methods, MIT Press, (2000)The Hidden Life of Latent Variables: Bayesian Learning with Mixed Graph Models, и . v10, (1187)A Probabilistic Model for Online Document Clustering with Application to Novelty Detection, , и . Proc. NIPS, (2005)A Nonparametric Bayesian Approach to Modeling Overlapping Clusters, и . Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS), (2007)Beam Sampling for the Infinite Hidden Markov Model, , , и . Proceedings of the International Conference on Machine learning (ICML), (2008)