The value of business process models is dependent not only on the choice of graphical elements in the model, but also on their annotation with additional textual and graphical inf...
Discovering and assembling individual Web services into more complex yet new and more useful Web processes has received significant attention from academia recently. In this thesi...
In this paper, we propose classifier ensemble selection for Named Entity Recognition (NER) as a single objective optimization problem. Thereafter, we develop a method based on gen...
Due to the increasing amount of 3D data for various applications there is a growing need for classification and search in such databases. As the representation of 3D objects is no...
Sampling functions in Gaussian process (GP) models is challenging because of the highly correlated posterior distribution. We describe an efficient Markov chain Monte Carlo algori...
Michalis Titsias, Neil D. Lawrence, Magnus Rattray