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Deep AutoRegressive Networks.

, , , , и . ICML, том 32 из JMLR Workshop and Conference Proceedings, стр. 1242-1250. JMLR.org, (2014)

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Weight Uncertainty in Neural Networks, , , и . (2015)cite arxiv:1505.05424Comment: In Proceedings of the 32nd International Conference on Machine Learning (ICML 2015).Training Recurrent Neural Networks by Evolino, , , и . Neural Computation, (2007)One-shot Learning with Memory-Augmented Neural Networks, , , , и . CoRR, (2016)Matching Networks for One Shot Learning, , , , и . Proceedings of the Neural Information Processing Systems Conference, стр. 3630--3638. (2016)Meta-Learning with Memory-Augmented Neural Networks., , , , и . ICML, том 48 из JMLR Workshop and Conference Proceedings, стр. 1842-1850. JMLR.org, (2016)Deep AutoRegressive Networks., , и . CoRR, (2013)Learning model-based planning from scratch, , , , , , , , , и . (2017)cite arxiv:1707.06170.Utile distinction hidden Markov models., и . ICML, том 69 из ACM International Conference Proceeding Series, ACM, (2004)Variational Learning for Recurrent Spiking Networks., , и . NIPS, стр. 136-144. (2011)Solving Deep Memory POMDPs with Recurrent Policy Gradients., , , и . ICANN (1), том 4668 из Lecture Notes in Computer Science, стр. 697-706. Springer, (2007)