— With the rise in complexity of modern systems, designers are spending a significant time on at the system level of abstraction. This paper introduces Model Algebra, a formalis...
An appropriate translation of the data model is central to any language migration effort. Finding a mapping between original and target data models may be challenging for legacy l...
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...
: Model Management aims at developing new technologies and mechanisms to support the integration, evolution and matching of models. Such tasks are to be performed by means of a set...
This paper studies ways for modularizing transformation definitions in current rule-based model transformation languages. Two scenarios are shown in which the modular units are id...