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Learning a causal structure: a Bayesian random graph approach.

Mauricio Gonzalez-SotoIvan Feliciano-AvelinoLuis Enrique SucarHugo Jair Escalante
Published in: Neural Comput. Appl. (2023)
Keyphrases
  • causal structure
  • learning algorithm
  • learning process
  • experimental data
  • bayesian networks
  • reinforcement learning
  • search algorithm
  • dynamic programming
  • probabilistic model
  • graph theoretic