Outline

• Introduction

• Bayesian networks: a review

• Parameter learning: Complete data

• Parameter learning: Incomplete data

• Structure learning: Complete data

  • Scoring metrics
  • Maximizing the score
  • Learning local structure

• Application: classification

• Learning causal relationships

• Structure learning: Incomplete data

• Conclusion

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