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Learning Causal Bayesian Networks from Observations and Experiments: A Decision Theoretic Approach.

Stijn MeganckPhilippe LerayBernard Manderick
Published in: MDAI (2006)
Keyphrases
  • causal bayesian networks
  • learning algorithm
  • learning process
  • reinforcement learning
  • prior knowledge
  • data sets
  • machine learning
  • decision making
  • active learning