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» Modeling the Variability Space of Self-Adaptive Applications
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IJON
2010
138views more  IJON 2010»
13 years 6 months ago
A dynamic Bayesian network to represent discrete duration models
Originally devoted to specific applications such as biology, medicine and demography, duration models are now widely used in economy, finance or reliability. Recent works in var...
Roland Donat, Philippe Leray, Laurent Bouillaut, P...
AAAI
2008
13 years 10 months ago
Factored Models for Probabilistic Modal Logic
Modal logic represents knowledge that agents have about other agents' knowledge. Probabilistic modal logic further captures probabilistic beliefs about probabilistic beliefs....
Afsaneh Shirazi, Eyal Amir
CVPR
2003
IEEE
14 years 10 months ago
PAMPAS: Real-Valued Graphical Models for Computer Vision
Probabilistic models have been adopted for many computer vision applications, however inference in highdimensional spaces remains problematic. As the statespace of a model grows, ...
Michael Isard
CEC
2005
IEEE
14 years 1 months ago
Sensorimotor experience and its metrics: informational geometry and the temporal horizon
Abstract- We introduce metrics on sensorimotor experience at various temporal scales based on informationtheory. Sensorimotor variables through which the experience of an agent fl...
Chrystopher L. Nehaniv
SPIN
2009
Springer
14 years 2 months ago
Automatic Discovery of Transition Symmetry in Multithreaded Programs Using Dynamic Analysis
While symmetry reduction has been established to be an important technique for reducing the search space in model checking, its application in concurrent software verification is ...
Yu Yang, Xiaofang Chen, Ganesh Gopalakrishnan, Cha...