Outline

• Introduction

• Bayesian networks: a review

• Parameter learning: Complete data

  • Statistical parametric fitting
  • Maximum likelihood estimation
  • Bayesian inference

• Parameter learning: Incomplete data

• Structure learning: Complete data

• Application: classification

• Learning causal relationships

• Structure learning: Incomplete data

• Conclusion

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