Abstract. Model Transformations can be used to bridge the gap between design and analysis technical spaces by creating tools that allow a model produced by a designer to be transfo...
Seyyed M. A. Shah, Kyriakos Anastasakis, Behzad Bo...
In model driven development (MDD), specifying transformations between models at various levels of ion can be a complex task. Specifying transformations for pervasive system featur...
Devon M. Simmonds, Raghu Reddy, Robert B. France, ...
Logistic models are arguably one of the most widely used data analysis techniques. In this paper, we present analyses focussing on two important aspects of logistic models—its r...
Mixture of Gaussians (MoG) model is a useful tool in statistical learning. In many learning processes that are based on mixture models, computational requirements are very demandin...
Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfus...
We present here a large family of concrete models for Girard and Reynolds polymorphism (System F), in a non categorical setting. The family generalizes the construction of the mod...