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An Importance Sampling Approach to the Estimation of Algorithm Performance in Automated Algorithm Design.

Steven AdriaensenFilip MoonsAnn Nowé
Published in: LION (2017)
Keyphrases
  • learning algorithm
  • k means
  • importance sampling
  • dynamic programming
  • search space
  • optimal solution
  • monte carlo
  • simulated annealing
  • closed form
  • bayesian framework
  • feature selection
  • parameter estimation