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Graphical Models - Inference -

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Title: On Relational Sequence Alignments and their Information Contents Last modified by: Kristian Kersting Document presentation format: On-screen Show – PowerPoint PPT presentation

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Title: Graphical Models - Inference -


1
Graphical Models- Inference -
Mainly based on F. V. Jensen, Bayesian Networks
and Decision Graphs, Springer-Verlag New York,
2001.
Advanced I WS 06/07
Most Probable Explanation
  • Wolfram Burgard, Luc De Raedt, Kristian
    Kersting, Bernhard Nebel

Albert-Ludwigs University Freiburg, Germany
2
Outline
  • Introduction
  • Reminder Probability theory
  • Basics of Bayesian Networks
  • Modeling Bayesian networks
  • Inference (VE, Junction tree,MPE)
  • Excourse Markov Networks
  • Learning Bayesian networks
  • Relational Models

3
VE, Bucket elimination Dechter 96
- Inference (MPE)
4
Finding MPE Dechter 96
Elimination operator
- Inference (MPE)
5
Generating the MPE-tuple
- Inference (MPE)
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