The goal in domain adaptation is to train a model using labeled data sampled from a domain different from the target domain on which the model will be deployed. We exploit unlabel...
The Creative Problem-Solving Research Group (CPSRG) at Lancaster University is a collaboration between psychologists and computer scientists conducting research into creativity, p...
Thomas C. Ormerod, Linden J. Ball, Alan J. Dix, Co...
With our participation in TREC2004, we test Terrier, a modular and scalable Information Retrieval framework, in three tracks. For the mixed query task of the Web track, we employ ...
Dataset shift from the training data in a source domain to the data in a target domain poses a great challenge for many statistical learning methods. Most algorithms can be viewed ...
Currently computers are changing from single isolated devices into entry points into a worldwide network of information exchange and business transactions. Support in data, inform...
Dieter Fensel, Ian Horrocks, Frank van Harmelen, S...