Nordic Informatics Network in the Agricultural Sciences

Reasoning under Uncertainty in Agriculture:

Bayesian Networks and Graphical Models

Notes and slides

• Lecture slides by Linda C. van der Gaag
• Lecture slides by Serafín Moral
  • Learning Bayesian networks
  • Parameter estimation
  • Structural learning: The PC algorithm
  • Structural learning: Score+search methods
  • Greenhouse data
  • Missing data and preprocessing
  • Classification oriented learning
  • Microarrays
  • Exercises
• Applications presented by Erik Jørgensen

Author: phd@dina.kvl.dk. Updated: 26 august 2003