This paper focuses on fundamental similarities between proposing links for hypertexts and predicting user-requests. It briefly outlines the theoretical background of both categorie...
Ernst Georg Haffner, Uwe Roth, Andreas Heuer 0002,...
This paper investigates the new problem of automatic sense induction for instance names using automatically extracted attribute sets. Several clustering strategies and data source...
Ricardo Martin-Brualla, Enrique Alfonseca, Marius ...
act out the core search problem of active learning schemes, to better understand the extent to which adaptive labeling can improve sample complexity. We give various upper and low...
The current paper uses a scenario from logistics to show that modern heuristics, and in particular particle swarm optimization (PSO) can significantly add to the improvement of sta...
Emerging technologies, such as intelligent agents, avatars, and distributed environments offer new opportunities for the improvement of business games used for training decision m...