Login / Signup

Error bounds for parallel distributed detection under the Neyman-Pearson criterion.

Po-Ning ChenAdrian Papamarcou
Published in: IEEE Trans. Inf. Theory (1995)
Keyphrases
  • neyman pearson
  • error bounds
  • parallel distributed
  • neural network
  • type ii
  • worst case
  • support vector machine
  • theoretical analysis
  • lower bound
  • binary classification
  • support vector
  • multi class
  • optimization problems