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Towards the Development of an Uncertainty Quantification Protocol for
  the Natural Gas Industry

Towards the Development of an Uncertainty Quantification Protocol for the Natural Gas Industry

5 August 2023
Babajide Kolade
ArXivPDFHTML

Papers citing "Towards the Development of an Uncertainty Quantification Protocol for the Natural Gas Industry"

2 / 2 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
299
9,202
0
06 Jun 2015
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
270
7,646
0
03 Jul 2012
1