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Hyperparameter-selection for sparse regression: A probablistic approach.

Ted KronvallAndreas Jakobsson
Published in: ACSSC (2017)
Keyphrases
  • sparse regression
  • feature selection and classification
  • linear regression
  • selection algorithm
  • low rank
  • gaussian processes
  • hyperparameters