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Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling., , и . IJCAI, стр. 4811-4815. ijcai.org, (2017)Ringtail: A Generalized Nowcasting System., , , , , и . Proc. VLDB Endow., 6 (12): 1358-1361 (2013)Snorkel: rapid training data creation with weak supervision, , , , , и . The VLDB Journal, 29 (2): 709--730 (01.05.2020)Learning the Structure of Generative Models without Labeled Data., , , и . ICML, том 70 из Proceedings of Machine Learning Research, стр. 273-282. PMLR, (2017)Omnivore: An Optimizer for Multi-device Deep Learning on CPUs and GPUs, , , , и . (2016)cite arxiv:1606.04487.Low-Precision Random Fourier Features for Memory-constrained Kernel Approximation., , , и . AISTATS, том 89 из Proceedings of Machine Learning Research, стр. 1264-1274. PMLR, (2019)Hyperbolic Graph Convolutional Neural Networks., , , и . CoRR, (2019)Query Containment of Tier-2 Queries over a Probabilistic Database., , , и . MUD, том WP09-14 из CTIT Workshop Proceedings Series, стр. 47-62. Centre for Telematics and Information Technology (CTIT), University of Twente, The Netherlands, (2009)Tuffy: Scaling Up Statistical Inference in Markov Logic Networks Using an RDBMS, , , и . Proceedings of the VLDB Endowment, 4 (6): 373--384 (2011)Queries and materialized views on probabilistic databases., , и . J. Comput. Syst. Sci., 77 (3): 473-490 (2011)