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Approximate factorizations of distributions and the minimum relative entropy principle
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Authors:
Heinz Mühlenbein
Fraunhofer Institute for Autonomous Intelligent Systems, Sankt Augustin, Germany
Robin Höns
Fraunhofer Institute for Autonomous Intelligent Systems, Sankt Augustin, Germany
Published in:
· Proceeding
GECCO '05 Proceedings of the 2005 workshops on Genetic and evolutionary computation
Pages 199 - 211
ACM
New York, NY
, USA
©2005
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doi>
10.1145/1102256.1102306
2005 Article
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Tags:
algorithms
analysis of algorithms and problem complexity
bayesian information criterion
bethe-kikuchi approximation
boltzmann distribution
estimation of distributions
factorization of distributions
maximum entropy principle
minimum log-likelihood ratio
minimum relative entropy
theory
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