We investigate the application of the likelihood ratio method (LRM) for sensitivity estimation when the relevant density for the underlying model is known only through its charact...
Software development is witnessing the increasing need of version management techniques for supporting the evolution of model-based artefacts. In this respect, metamodels can be c...
Antonio Cicchetti, Davide Di Ruscio, Romina Eramo,...
We propose a mixture of multiple linear models, also known as hybrid linear model, for a sparse representation of an image. This is a generalization of the conventional KarhunenLo...
The polyhedral model is extensively used for analyses and transformations of regular loop programs, one of the most important being automatic parallelization. The model, however, ...
Model-driven engineering (MDE) techniques address rapid changes anguages and platforms by lifting the abstraction level from code to models. On the one hand models are transformed ...