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Summary: Journal of Machine Learning Research 1 (0000) 0-0 Submitted 0/00; Published 00/00
A Deterministic Annealing Approach to Learning Bayesian
Networks
Ahmed M. Hassan ahassan@ieee.org
Computer Engineering Dept.
Cairo University
Giza, 1234, Egypt
Amir F. Atiya amir@alumni.caltech.edu
Computer Engineering Dept.
Cairo University
Giza, 1234, Egypt
Ihab E. Talkhan italkhan@aucegypt.edu
Computer Engineering Dept.
Cairo University
Giza, 1234, Egypt
Editor:
Abstract
Graphical Models bring together two different mathematical areas: graph theory and prob-
ability theory. Recent years have witnessed an increase in the significance of the role played
by Graphical Models in solving several machine learning problems. Graphical Models can
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