Approximating MAPs for belief networks is NP-hard and other theorems

Author:

Abdelbar Ashraf M.,Hedetniemi Sandra M.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Reference24 articles.

1. A parallel hybrid genetic algorithm simulated annealing approach to finding most probable explanations on Bayesian belief networks;Abdelbar,1997

2. A recursive cubic-order neural network for generating probable explanations;Abdelbar,1998

3. Dynamic MAP calculations for abduction;Charniak,1992

4. Cost-based abduction and MAP explanation;Charniak;Artificial Intelligence,1994

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

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