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Can we integrate spatial verification methods into neural-network loss functions for atmospheric science?

Ryan LagerquistImme Ebert-Uphoff
Published in: CoRR (2022)
Keyphrases
  • loss function
  • neural network
  • learning models
  • information retrieval
  • model selection
  • benchmark datasets
  • back propagation
  • cross validation
  • spectral clustering
  • risk minimization