Approximate inference in Bayesian networks using binary probability trees

Author:

Cano Andrés,Gémez-Olmedo Manuel,Moral Serafén

Publisher

Elsevier BV

Subject

Applied Mathematics,Artificial Intelligence,Theoretical Computer Science,Software

Reference14 articles.

1. The computational complexity of probabilistic inference using Bayesian belief networks;Cooper;Artificial Intelligence,1990

2. Operating with potentials of discrete variables;Arias;International Journal of Approximate Reasoning,2007

3. Improvements to message computation in lazy propagation;Madsen;International Journal of Approximate Reasoning,2010

4. Penniless propagation in join trees;Cano;International Journal of Intelligent Systems,2000

5. Nonuniform dynamic discretization in hybrid networks;Kozlov,1997

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