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CAV
2008
Springer
110views Hardware» more  CAV 2008»
13 years 9 months ago
Probabilistic CEGAR
Counterexample-guided abstraction refinement (CEGAR) has been en vogue for the automatic verification of very large systems in the past years. When trying to apply CEGAR to the ver...
Holger Hermanns, Björn Wachter, Lijun Zhang
APSEC
2001
IEEE
13 years 11 months ago
Scheduling Software Projects to Minimize the Development Time and Cost with a Given Staff
A probabilistic scheduling model for software projects is presented. The model explicitly takes a scheduling strategy as input. When the scheduling strategy is fixed, the model ou...
Frank Padberg
NIPS
1998
13 years 9 months ago
Robot Docking Using Mixtures of Gaussians
This paper applies the Mixture of Gaussians probabilistic model, combined with Expectation Maximization optimization to the task of summarizing three dimensional range data for a ...
Matthew M. Williamson, Roderick Murray-Smith, Volk...
JMLR
2010
160views more  JMLR 2010»
13 years 2 months ago
Neural conditional random fields
We propose a non-linear graphical model for structured prediction. It combines the power of deep neural networks to extract high level features with the graphical framework of Mar...
Trinh Minh Tri Do, Thierry Artières
ICIP
2003
IEEE
14 years 9 months ago
A probabilistic framework for image segmentation
A new probabilistic image segmentation model based on hypothesis testing and Gibbs Random Fields is introduced. First, a probabilistic difference measure derived from a set of hyp...
Slawo Wesolkowski, Paul W. Fieguth