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Understanding the role of noise in stochastic local search: Analysis and experiments
Artificial Intelligence 172 (8-9):955-990 (2008)
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Citations of this work
Understanding the scalability of Bayesian network inference using clique tree growth curves.Ole J. Mengshoel - 2010 - Artificial Intelligence 174 (12-13):984-1006.
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.
On the hardness of approximate reasoning.Dan Roth - 1996 - Artificial Intelligence 82 (1-2):273-302.
Finding MAPs for belief networks is NP-hard.Solomon Eyal Shimony - 1994 - Artificial Intelligence 68 (2):399-410.
Approximating MAPs for belief networks is NP-hard and other theorems.Ashraf M. Abdelbar & Sandra M. Hedetniemi - 1998 - Artificial Intelligence 102 (1):21-38.
Local search characteristics of incomplete SAT procedures.Dale Schuurmans & Finnegan Southey - 2001 - Artificial Intelligence 132 (2):121-150.
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