The effectiveness of knowledge transfer using classification algorithms depends on the difference between the distribution that generates the training examples and the one from wh...
Reinforcement Learning research is traditionally devoted to solve single-task problems. Therefore, anytime a new task is faced, learning must be restarted from scratch. Recently, ...
Technology to support knowledge transfer and cooperative inquiry must offer its users the ability to effectively interpret knowledge structures produced by collaborators. Communic...
We propose an algorithm for the trausfer of packed linguistic structures, that is, finite collections of labelled graphs which share certain subparts. A labelled graph is seen as ...
The proliferation of media sharing and social networking websites has brought with it vast collections of site-specific user generated content. The result is a Social Networking Di...
Avare Stewart, Ernesto Diaz-Aviles, Wolfgang Nejdl