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A Theoretical and Empirical Study of a Noise-Tolerant Algorithm to Learn Geometric Patterns.

Sally A. GoldmanStephen D. Scott
Published in: Mach. Learn. (1999)
Keyphrases
  • noise tolerant
  • learning algorithm
  • cost function
  • simulated annealing
  • theoretical analysis
  • noisy data
  • objective function
  • input data
  • optimization algorithm
  • genetic algorithm
  • classification algorithm