A translation is a conversion from a source language into a target language preserving the meaning. A huge number of techniques and computational approaches have been experimented...
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
Concurrent Collections (CnC)[8] is a declarative parallel language that allows the application developer to express their parallel application as a collection of high-level comput...
This paper presents work in progress to explore the possibility of combining model-driven and domain modeling techniques to facilitate support for reuse and automation. The approa...
This paper describes MATA (Modeling Aspects Using a Transformation Approach), a UML aspect-oriented modeling tool that uses graph transformations to specify and compose aspects. Gr...