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UAI
1997
15 years 1 months ago
1997
Bayesian networks provide a modeling language and associated inference algorithm for stochastic domains. They have been successfully applied in a variety of medium-scale applicati...
SARA
2009
Springer
15 years 6 months ago
2009
Springer
Tailoring solver-independent constraint instances to target solvers is an important component of automated constraint modelling. We augment the tailoring process by a set of enhan...
CLOR
2006
15 years 3 months ago
2006
We present a new class of statistical models for part-based object recognition. These models are explicitly parametrized according to the degree of spatial structure that they can ...
RE
2009
Springer
15 years 6 months ago
2009
Springer
With the popularity of model-driven methodologies, and the abundance of modelling languages, a major question for a requirements engineer is: which language is suitable for modell...
VAMOS
2007
Springer
15 years 6 months ago
2007
Springer
Variability modeling techniques are used to specify variable aspects of members of a family of related software artifacts. Instances of variability models are then used to effici...