In multi-task learning our goal is to design regression or classification models for each of the tasks and appropriately share information between tasks. A Dirichlet process (DP) ...
Workflow technology has met with success in a variety of industries, although several limitations have emerged. One such drawback is the inflexibility of specification languages, ...
Belinda M. Carter, Joe Y.-C. Lin, Maria E. Orlowsk...
Project-centred learning is increasingly used both in academia and in companies; universities train students to master complex tasks, often suggested by real-life situations, while...
Annotation of digital recordings in humanities research still is, to a large extend, a process that is performed manually. This paper describes the first pattern recognition based...
Eric Auer, Albert Russel, Han Sloetjes, Peter Witt...