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» Model Counting: A New Strategy for Obtaining Good Bounds
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AAAI
2006
13 years 9 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
IJCAI
2007
13 years 9 months ago
From Sampling to Model Counting
We introduce a new technique for counting models of Boolean satisfiability problems. Our approach incorporates information obtained from sampling the solution space. Unlike previ...
Carla P. Gomes, Jörg Hoffmann, Ashish Sabharw...
CPAIOR
2008
Springer
13 years 9 months ago
Leveraging Belief Propagation, Backtrack Search, and Statistics for Model Counting
We consider the problem of estimating the model count (number of solutions) of Boolean formulas, and present two techniques that compute estimates of these counts, as well as eith...
Lukas Kroc, Ashish Sabharwal, Bart Selman
STACS
1999
Springer
13 years 11 months ago
A Complete and Tight Average-Case Analysis of Learning Monomials
Abstract. We advocate to analyze the average complexity of learning problems. An appropriate framework for this purpose is introduced. Based on it we consider the problem of learni...
Rüdiger Reischuk, Thomas Zeugmann
GECCO
2004
Springer
14 years 26 days ago
Validating a Model of Colon Colouration Using an Evolution Strategy with Adaptive Approximations
The colour of colon tissue, which depends on the tissue structure, its optical properties, and the quantities of the pigments present in it, can be predicted by a physics-based mod...
Dzena Hidovic, Jonathan E. Rowe