Equivalences between maximum a posteriori inference in Bayesian networks and maximum expected utility computation in influence diagrams-Reference-Cited by-同舟云学术

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Equivalences between maximum a posteriori inference in Bayesian networks and maximum expected utility computation in influence diagrams

Published:2016-01 Issue: Volume:68 Page:211-229
ISSN:0888-613X
Container-title:International Journal of Approximate Reasoning
language:en
Short-container-title:International Journal of Approximate Reasoning

Author:

Mauá Denis Deratani^ORCID

Funder

FAPESP

Publisher

Elsevier BV

Subject

Applied Mathematics,Artificial Intelligence,Theoretical Computer Science,Software

Reference52 articles.

1. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference;Pearl,1988

2. Complexity results and approximation strategies for MAP explanations;Park;J. Artif. Intell. Res.,2004

3. Probabilistic Graphical Models;Koller,2009

4. An ensemble of Bayesian networks for multilabel classification;Antonucci,2013

5. Approximating MAP using local search;Park,2001

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