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On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification.

Sanyam KapoorWesley J. MaddoxPavel IzmailovAndrew Gordon Wilson
Published in: CoRR (2022)
Keyphrases
  • data sets
  • bayesian classification
  • neural network
  • prior knowledge
  • genetic algorithm
  • training data
  • reinforcement learning
  • missing data
  • missing values
  • prior information
  • bayesian inference