Response probability distribution estimation of expensive computer simulators: A Bayesian active learning perspective using Gaussian process regression

Documenti analoghi

• Bayesian model updating via streamlined Bayesian active learning cubature
  di: Li, Pei-Pei, et al.
  Pubblicazione: (2025)
• On Fractional Moment Estimation from Polynomial Chaos Expansion
  di: Novák, Lukáš, et al.
  Pubblicazione: (2024)
• Local transfer learning Gaussian process modeling, with applications to surrogate modeling of expensive computer simulators
  di: Wang, Xinming, et al.
  Pubblicazione: (2024)
• Efficient forward and inverse uncertainty quantification for dynamical systems based on dimension reduction and Kriging surrogate modeling in functional space
  di: Song, Zhouzhou, et al.
  Pubblicazione: (2025)
• Evaluation of uncertainty estimations for Gaussian process regression based machine learning interatomic potentials
  di: Holzenkamp, Matthias, et al.
  Pubblicazione: (2024)