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General formulas for the Neyman-Pearson type-II error exponent subject to fixed and exponential type-I error bounds.

Po-Ning Chen
Published in: IEEE Trans. Inf. Theory (1996)
Keyphrases
  • type ii
  • error bounds
  • neyman pearson
  • type i error
  • theoretical analysis
  • special case
  • worst case
  • neural network
  • feature extraction
  • lower bound