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Minimum training sample size requirements for achieving high prediction accuracy with the BN model: A case study regarding seismic liquefaction.

Jilei HuWenjun ZouJing WangLuou Pang
Published in: Expert Syst. Appl. (2021)
Keyphrases
  • prediction accuracy
  • sample size
  • probabilistic model
  • achieving high
  • information criterion
  • upper bound
  • data mining
  • feature selection
  • training set
  • worst case
  • evolutionary computation
  • random sampling