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Determining Type II sensitivity ranges of the fractional assignment problem.

Chi-Jen Lin
Published in: Oper. Res. Lett. (2011)
Keyphrases
  • type ii
  • type i error
  • sensitivity analysis
  • high sensitivity
  • artificial intelligence
  • neyman pearson
  • data mining
  • real time
  • real world
  • expert systems
  • active learning
  • fractional order
  • hurst exponent