550:643 Graphical Models
Spring 2008
Shaffer 302, 4:30-5:45pm
Laurent Younes
Department of Applied Mathematics and Statistics
Center for Imaging Science
The Johns Hopkins University
3400 N Charles Street
21218 Baltimore MD
Clark 324C
Email: (replace * with dots): laurent*younes at jhu*edu
Text book: There is no text book for the class (handouts will be progressively available on this page)
Relevant references:
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Pearl, J.: Probabilistic Reasoning in Intelligent Systems, Morgan Kaufman, San Mateo, California, 1988 |
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Cowell, R. J., Dawid, A. P., Lauritzen, S. L. and Spiegelhalter, D. J.: Probabilistic Networks and Expert Systems, Springer 2007 |
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Neapolitan R. E.: Learning Bayesian Networks, Prentice Hall, 2004 |
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Gerhard Winkler: Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction, Springer, 2006 |
Content:
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Models on undirected graphs: Hammersley-Clifford Theorem, Probabilistic Inference, Monte-Carlo Sampling |
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Bayesian Networks |
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Parameter estimation: Complete and incomplete observations. |
Office hours: By appointment.
Projects:
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