Traditional Machine Learning approaches based on single inference mechanisms have reached their limits. This causes the need for a framework that integrates approaches based on aba...
This paper studies an adaptive clustering problem. We focus on re-clustering an object set, previously clustered, when the feature set characterizing the objects increases. We prop...
In this paper, we develop methods to ‘‘sample’’ a small realistic graph from a large Internet topology. Despite recent activity, modeling and generation of realistic graph...
The main task of this follow-up study was to describe teachers' expectations, experiences and possible changes in the pedagogical use of ICT. As a part of an ICT development p...
This article explores how to develop complex data driven user models that go beyond the bag of words model and topical relevance. We propose to learn from rich user specific info...