In this article we present an infrastructure for creating mash up visual representations of the user proļ¬le that combines data from different sources. We explored this approach ...
Digital libraries have been rather successful in supporting learning activities by providing learners with access to information and knowledge. However, this level of support is pa...
Ee-Peng Lim, Aixin Sun, Zehua Liu, John G. Hedberg...
Transfer learning is the ability of an agent to apply knowledge learned in previous tasks to new problems or domains. We approach this problem by focusing on model formulation, i....
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speciļ...
Abstract. For a number of problems, such as ontology learning or image labeling, we need to handle uncertainty and inconsistencies in an appropriate way. Fuzzy and Probabilistic De...
Stefan Scheglmann, Carsten Saathoff, Steffen Staab