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IJCAI
2007
13 years 6 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...
UAI
2008
13 years 6 months ago
Hybrid Variational/Gibbs Collapsed Inference in Topic Models
Variational Bayesian inference and (collapsed) Gibbs sampling are the two important classes of inference algorithms for Bayesian networks. Both have their advantages and disadvant...
Max Welling, Yee Whye Teh, Bert Kappen
FOCS
2007
IEEE
13 years 11 months ago
Adaptive Simulated Annealing: A Near-optimal Connection between Sampling and Counting
We present a near-optimal reduction from approximately counting the cardinality of a discrete set to approximately sampling elements of the set. An important application of our wo...
Daniel Stefankovic, Santosh Vempala, Eric Vigoda
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
ICONIP
2008
13 years 6 months ago
Automatic Particle Detection and Counting by One-Class SVM from Microscope Image
Asbestos-related illnesses become a nationwide problem in Japan. Now human inspectors check whether asbestos is contained in building material or not. To judge whether the specimen...
Hinata Kuba, Kazuhiro Hotta, Haruhisa Takahashi