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» Variability in Automation System Models
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PROCEDIA
2010
148views more  PROCEDIA 2010»
15 years 1 months ago
SysCellC: a data-flow programming model on multi-GPU
High performance computing with low cost machines becomes a reality with GPU. Unfortunately, high performances are achieved when the programmer exploits the architectural specific...
Dominique Houzet, Sylvain Huet, Anis Rahman
EXPERT
2007
98views more  EXPERT 2007»
15 years 6 months ago
Adopting Software Engineering Trends in AI
three levels of abstraction in system modeling. Computation Independent Model (CIM) corresponds to the system's domain model and is similar to the domain ontology. It does not...
Dragan Djuric, Vladan Devedzic, Dragan Gasevic
SARA
2007
Springer
16 years 17 days ago
Generating Implied Boolean Constraints Via Singleton Consistency
Though there exist some rules of thumb for design of good models for solving constraint satisfaction problems, the modeling process still belongs more to art than to science. Moreo...
Roman Barták
ECSQARU
2009
Springer
16 years 1 months ago
Probability Density Estimation by Perturbing and Combining Tree Structured Markov Networks
To explore the Perturb and Combine idea for estimating probability densities, we study mixtures of tree structured Markov networks derived by bagging combined with the Chow and Liu...
Sourour Ammar, Philippe Leray, Boris Defourny, Lou...
DAC
2006
ACM
16 years 7 months ago
Statistical timing based on incomplete probabilistic descriptions of parameter uncertainty
Existing approaches to timing analysis under uncertainty are based on restrictive assumptions. Statistical STA techniques assume that the full probabilistic distribution of parame...
Wei-Shen Wang, Vladik Kreinovich, Michael Orshansk...