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Complexity of probabilistic reasoning in directed-path singly-connected Bayes networks
Artificial Intelligence 151 (1-2):213-225 (2003)
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Citations of this work
Estimating the probability of meeting a deadline in schedules and plans.Liat Cohen, Solomon Eyal Shimony & Gera Weiss - 2019 - Artificial Intelligence 275 (C):329-355.
Approximate belief updating in max-2-connected Bayes networks is NP-hard.Erez Karpas, Solomon Eyal Shimony & Amos Beimel - 2009 - Artificial Intelligence 173 (12-13):1150-1153.
References found in this work
The computational complexity of probabilistic inference using bayesian belief networks.Gregory F. Cooper - 1990 - Artificial Intelligence 42 (2-3):393-405.
Approximating probabilistic inference in Bayesian belief networks is NP-hard.Paul Dagum & Michael Luby - 1993 - Artificial Intelligence 60 (1):141-153.
On the hardness of approximate reasoning.Dan Roth - 1996 - Artificial Intelligence 82 (1-2):273-302.
Probabilistic Horn abduction and Bayesian networks.David Poole - 1993 - Artificial Intelligence 64 (1):81-129.
Finding MAPs for belief networks is NP-hard.Solomon Eyal Shimony - 1994 - Artificial Intelligence 68 (2):399-410.
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