Zobrazeno 1 - 10
of 285
pro vyhledávání: '"Bayesian evidence"'
Publikováno v:
Soils and Foundations, Vol 64, Iss 6, Pp 101523- (2024)
Geotechnical properties, such as cohesion, pile drivability, rock strength, is one of the most important and indispensable input for design or analysis of geotechnical/geological engineering projects. Conventionally, these properties are obtained fro
Externí odkaz:
https://doaj.org/article/ee12d105f75f470b8dba163f81a5c552
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Journal of Intelligence, Vol 11, Iss 10, p 190 (2023)
Testing (i.e., retrieval practice) is one of the most powerful strategies to boost learning. A recent study observed an incidental finding that making judgments of learning (JOLs) following retrieval practice further enhanced learning of education-re
Externí odkaz:
https://doaj.org/article/74d609cb6b3347e48a3c911f80593a43
Autor:
Assem Shayakhmetova, Natalya Litvinenko, Orken Mamyrbayev, Waldemar Wójcik, Dusmat Zhamangarin
Publikováno v:
International Journal of Electronics and Telecommunications, Vol vol. 67, Iss No 2, Pp 181-186 (2021)
The article is devoted to some critical problems of using Bayesian networks for solving practical problems, in which graph models contain directed cycles. The strict requirement of the acyclicity of the directed graph representing the Bayesian networ
Externí odkaz:
https://doaj.org/article/a424d16acd174daba04266b69a7b8330
Publikováno v:
Sensors, Vol 23, Iss 10, p 4734 (2023)
The epistemic uncertainty in coronavirus disease (COVID-19) model-based predictions using complex noisy data greatly affects the accuracy of pandemic trend and state estimations. Quantifying the uncertainty of COVID-19 trends caused by different unob
Externí odkaz:
https://doaj.org/article/55d994c49a074e5cadd0516990f61685
Publikováno v:
BMC Medical Research Methodology, Vol 20, Iss 1, Pp 1-16 (2020)
Abstract Background Network meta-analysis (NMA) provides a powerful tool for the simultaneous evaluation of multiple treatments by combining evidence from different studies, allowing for direct and indirect comparisons between treatments. In recent y
Externí odkaz:
https://doaj.org/article/8d54471635be4db3bd73315274415842
Autor:
Juan García-Bellido
Publikováno v:
Universe, Vol 9, Iss 3, p 118 (2023)
Bayesian evidence is a key tool in model selection, allowing a comparison of models with different numbers of parameters. Its use in the analysis of cosmological models has been limited by difficulties in calculating it, with current numerical algori
Externí odkaz:
https://doaj.org/article/8bb79b69c8b3415bb85860e801bbe6cf
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Sofieke T. Kevenaar, Maria A.J. Zondervan-Zwijnenburg, Elisabet Blok, Heiko Schmengler, M. (Ties) Fakkel, Eveline L. de Zeeuw, Elsje van Bergen, N. Charlotte Onland-Moret, Margot Peeters, Manon H.J. Hillegers, Dorret I. Boomsma, Albertine J. Oldehinkel
Publikováno v:
Developmental Cognitive Neuroscience, Vol 47, Iss , Pp 100904- (2021)
The trend toward large-scale collaborative studies gives rise to the challenge of combining data from different sources efficiently. Here, we demonstrate how Bayesian evidence synthesis can be used to quantify and compare support for competing hypoth
Externí odkaz:
https://doaj.org/article/a65658a0be5642bc97555ac662e28171
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.