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A Principled Method for the Creation of Synthetic Multi-fidelity Data
  Sets

A Principled Method for the Creation of Synthetic Multi-fidelity Data Sets

11 August 2022
Clyde Fare
Peter Fenner
Edward O. Pyzer-Knapp
ArXivPDFHTML

Papers citing "A Principled Method for the Creation of Synthetic Multi-fidelity Data Sets"

1 / 1 papers shown
Title
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
1