: This paper presents a novel adaptive course composition system that based on mashing up learning content in a web application. The system includes three major components, static ...
To meet the high demand for powerful embedded processors, VLIW architectures are increasingly complex (e.g., multiple clusters), and moreover, they now run increasingly sophistica...
In this paper, we present an extensible approach to the adaptation of Web information delivery according to different and possibly heterogeneous contexts. The approach is based o...
The performance of an offline-trained classifier can be improved on-site by adapting the classifier towards newly acquired data. However, the adaptation rate is a tuning parame...
In this paper we consider provenance modelling in Adaptive Hypermedia Systems (AHS). We revisit adaptation and data provenance questions and bring up new and complementary aspects...