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Stopping Rules for Optimization Algorithms Based on Stochastic Approximation.

Takayuki WadaYasumasa Fujisaki
Published in: J. Optim. Theory Appl. (2016)
Keyphrases
  • stochastic approximation
  • stopping rules
  • learning algorithm
  • machine learning algorithms
  • monte carlo
  • computational complexity
  • decision trees
  • training data
  • bayesian networks
  • policy iteration