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» A Markov Chain Model Checker
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CMSB
2010
Springer
13 years 3 months ago
Stochasticity in reactions: a probabilistic Boolean modeling approach
Boolean modeling frameworks have long since proved their worth for capturing and analyzing essential characteristics of complex systems. Hybrid approaches aim at exploiting the ad...
Sven Twardziok, Heike Siebert, Alexander Heyl
ATVA
2006
Springer
123views Hardware» more  ATVA 2006»
14 years 15 days ago
Symmetry Reduction for Probabilistic Model Checking Using Generic Representatives
Generic representatives have been proposed for the effective combination of symmetry reduction and symbolic representation with BDDs in non-probabilistic model checking. This appro...
Alastair F. Donaldson, Alice Miller
UAI
2004
13 years 10 months ago
Bayesian Learning in Undirected Graphical Models: Approximate MCMC Algorithms
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
Iain Murray, Zoubin Ghahramani
PAMI
2008
161views more  PAMI 2008»
13 years 8 months ago
Multilayered 3D LiDAR Image Construction Using Spatial Models in a Bayesian Framework
Standard 3D imaging systems process only a single return at each pixel from an assumed single opaque surface. However, there are situations when the laser return consists of multip...
Sergio Hernandez-Marin, Andrew M. Wallace, Gavin J...
COMPSAC
2009
IEEE
14 years 1 months ago
Modeling and Predicting Software Failure Costs
—For software, the costs of failures are not clearly understood. Often, these costs disappear in the costs of testing, the general developments costs, or the operating expenses. ...
Michael Grottke, Christian A. Graf