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Sparse Bayesian Learning with Stein's Unbiased Risk Estimator based Hyperparameter Optimization.

Dirk Slock
Published in: IEEECONF (2022)
Keyphrases
  • sparse bayesian learning
  • least squares
  • maximum likelihood
  • maximum a posteriori
  • hyperparameters
  • gaussian process
  • machine learning
  • support vector
  • feature vectors
  • model selection
  • gaussian processes
  • sparse learning