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AAAI
2006
13 years 6 months ago
Performing Incremental Bayesian Inference by Dynamic Model Counting
The ability to update the structure of a Bayesian network when new data becomes available is crucial for building adaptive systems. Recent work by Sang, Beame, and Kautz (AAAI 200...
Wei Li 0002, Peter van Beek, Pascal Poupart
AAAI
2006
13 years 6 months ago
Model Counting: A New Strategy for Obtaining Good Bounds
Model counting is the classical problem of computing the number of solutions of a given propositional formula. It vastly generalizes the NP-complete problem of propositional satis...
Carla P. Gomes, Ashish Sabharwal, Bart Selman
SAT
2005
Springer
145views Hardware» more  SAT 2005»
13 years 10 months ago
A New Approach to Model Counting
We introduce ApproxCount, an algorithm that approximates the number of satisfying assignments or models of a formula in propositional logic. Many AI tasks, such as calculating degr...
Wei Wei, Bart Selman
SEMWEB
2007
Springer
13 years 11 months ago
Sampling and Soundness: Can We Have Both?
Recent research on model counting in CNF formulas has shown that a certain sampling method can yield results that are sound with a provably high probability. The key idea is to ite...
Carla P. Gomes, Jörg Hoffmann, Ashish Sabharw...