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Bayesian dark knowledge.

, , , и . NIPS, стр. 3438-3446. (2015)

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An introduction to graphical model. Intel Research Technical Report, (2001)The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction., , , , и . CoRR, (2019)Contextual Models for Object Detection Using Boosted Random Fields., , и . NIPS, стр. 1401-1408. (2004)Bayesian dark knowledge., , , и . NIPS, стр. 3438-3446. (2015)Vision-Based Speaker Detection Using Bayesian Networks., , и . CVPR, стр. 2110-2116. IEEE Computer Society, (1999)Generative models for discrete data. Machine Learning: A Probabilistic Approach, MIT Press, Cambridge, MA, USA, (2012)Modeling changing dependency structure in multivariate time series., и . ICML, том 227 из ACM International Conference Proceeding Series, стр. 1055-1062. ACM, (2007)Machine learning : a probabilistic perspective. MIT Press, Cambridge, Mass. u.a., (2013)Markov and Hidden Markov Models. Machine Learning: A Probabilistic Approach, MIT Press, Cambridge, MA, USA, (2012)Bayesian statistics. Machine Learning: A Probabilistic Approach, MIT Press, Cambridge, MA, USA, (2012)