The complexity of approximating MAPs for belief networks with bounded probabilities
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Linguistics and Language,Language and Linguistics
Reference9 articles.
1. Approximating MAPs on belief networks is NP-hard and other theorems;Abdelbar;Artificial Intelligence,1998
2. The computational complexity of probabilistic inference using Bayesian belief networks;Cooper;Artificial Intelligence,1990
3. Approximating probabilistic inference in Bayesian belief networks is NP-hard;Dagum;Artificial Intelligence,1993
4. An optimal approximation algorithm for Bayesian inference;Dagum;Artificial Intelligence,1997
5. Computers and Intractability: A Guide to the Theory of NP-Completeness;Garey,1979
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