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Auflistung nach Schlagwort "Bayesian active learning"

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Bayesian active learning line sampling with log-normal process for rare-event probability estimation

Dang, Chao; Valdebenito, Marcos A.; Wei, Pengfei; Song, Jingwen; Beer, Michael (London [u.a.] : Elsevier Science, 2024)

Line sampling (LS) stands as a powerful stochastic simulation method for structural reliability analysis, especially for assessing small failure probabilities. To further improve the performance of traditional LS, a Bayesian ...
Forward uncertainty quantification with special emphasis on a Bayesian active learning perspective

Dang, Chao (Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2023)

Uncertainty quantification (UQ) in its broadest sense aims at quantitatively studying all sources of uncertainty arising from both computational and real-world applications. Although many subtopics appear in the UQ field, ...
Partially Bayesian active learning cubature for structural reliability analysis with extremely small failure probabilities

Dang, Chao; Faes, Matthias G.R.; Valdebenito, Marcos A.; Wei, Pengfei; Beer, Michael (Amsterdam [u.a.] : Elsevier Science, 2024)

The Bayesian failure probability inference (BFPI) framework provides a well-established Bayesian approach to quantifying our epistemic uncertainty about the failure probability resulting from a limited number of performance ...
Semi-Bayesian active learning quadrature for estimating extremely low failure probabilities

Dang, Chao; Beer, Michael (London [u.a.] : Elsevier Science, 2024)

The Bayesian failure probability inference (BFPI) framework provides a sound basis for developing new Bayesian active learning reliability analysis methods. However, it is still computationally challenging to make use of ...

Anzeige der Dokumente 1-4 von 4

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Auflistung nach Schlagwort "Bayesian active learning"

Auflistung nach Schlagwort "Bayesian active learning"

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