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Controlled abstention neural networks for identifying skillful
  predictions for classification problems

Controlled abstention neural networks for identifying skillful predictions for classification problems

16 April 2021
E. Barnes
R. Barnes
ArXivPDFHTML

Papers citing "Controlled abstention neural networks for identifying skillful predictions for classification problems"

2 / 2 papers shown
Title
CIRA Guide to Custom Loss Functions for Neural Networks in Environmental
  Sciences -- Version 1
CIRA Guide to Custom Loss Functions for Neural Networks in Environmental Sciences -- Version 1
I. Ebert‐Uphoff
Ryan Lagerquist
Kyle Hilburn
Yoonjin Lee
Katherine Haynes
Jason Stock
C. Kumler
J. Stewart
16
20
0
17 Jun 2021
Machine Learning for Stochastic Parameterization: Generative Adversarial
  Networks in the Lorenz '96 Model
Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model
D. Gagne
H. Christensen
A. Subramanian
A. Monahan
AI4CE
BDL
41
139
0
10 Sep 2019
1