Learning (in this context)

• Process

  • Input: dataset and prior information
  • Output: Bayesian network

• Prior information: background knowledge

  • a Bayesian network (or fragments of it)
  • time ordering
  • prior probabilities
  • ...

Represents

• P(E,B,R,S,C)

• Independence Statements

• Causality

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