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A discrepancy principle for the Landweber iteration based on risk minimization.

Federico BenvenutoCristina Campi
Published in: Appl. Math. Lett. (2019)
Keyphrases
  • risk minimization
  • line search
  • loss function
  • empirical risk
  • uniform convergence
  • generalization error
  • multi category
  • hinge loss
  • upper bound
  • machine learning
  • learning algorithm
  • multi class