Boosting has established itself as a successful technique for decreasing the generalization error of classification learners by basing predictions on ensembles of hypotheses. Whil...
Similarity search and data mining often rely on distance or similarity functions in order to provide meaningful results and semantically meaningful patterns. However, standard dist...
Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Mat...
We present a pilot for a student consultancy service offering students the opportunity to work with internal and external clients on real life projects to learn and enhance trans...
We introduce an educational toy, called curlybot, as the basis for a new class of toys aimed at children in their early stages of development – ages four and up. curlybot is an ...
Phil Frei, Victor Su, Bakhtiar Mikhak, Hiroshi Ish...
This paper explores the use of hierarchical structure for classifying a large, heterogeneous collection of web content. The hierarchical structure is initially used to train diffe...