Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
Combining multiple information sources, typically from several data streams is a very promising approach, both in experiments and to some extend in various real-life applications. ...
In this paper we present the results of an experiment made with our e-librarian service ”MatES”, an e-Learning tool on fractions in mathematics. MatES allows students to enter...
Despite the many solutions proposed by industry and the research community to address phishing attacks, this problem continues to cause enormous damage. Because of our inability t...
Abstract: In Zeiten von Web 2.0 finden immer mehr Aktivit¨aten orts- und zeitunabh¨angig ¨uber das Internet statt. Lerninhalte und Aufgabentexte in einem Wiki aufzubereiten, um...