Algebraic Bayesian Networks: The Use of Parallel Computing While Maintaining Various Degrees of Consistency-Reference-Cited by-同舟云学术

Algebraic Bayesian Networks: The Use of Parallel Computing While Maintaining Various Degrees of Consistency

Published:2019 Issue: Volume: Page:696-704
ISSN:2198-4182
Container-title:Recent Research in Control Engineering and Decision Making
language:
Short-container-title:

Author:

Kharitonov Nikita A.^ORCID,Maximov Anatoly G.^ORCID,Tulupyev Alexander L.^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-12072-6_56

Reference18 articles.

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4. Fehlings, M.G., Noonan, V.K., Atkins, D., Burns, A.S., Cheng, C.L., Singh, A., Dvorak, M.F.: Optimizing clinical decision making in acute traumatic spinal cord injury. J. Neurotrauma 34(20), 2841–2842 (2017). https://doi.org/10.1089/neu.2016.4926

5. Guzmán, E., Vázquez, M., Del Valle, D., Pérez-Rodríguez, P.: Artificial neuronal networks: a Bayesian approach using parallel computing. Rev. Colomb. Estad. 41(2), 173–189 (2018). https://doi.org/10.15446/rce.v41n2.55250

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