We have recently presented CarpeDiem, an algorithm that can be used for speeding up the evaluation of Supervised Sequential Learning (SSL) classifiers. CarpeDiem provides impress...
We have provided a focus on process management and improvement as a basis for conducting student group projects. This paper summarises the lessons learnt from eight years of exper...
We present a view-based method for steering a robot in a network of positions; this includes navigation along a prerecorded path, but also allows for arbitrary movement of the robo...
Holger Friedrich, David Dederscheck, Eduard Rosert...
This paper aims at measuring the reliability of judges in MT evaluation. The scope is two evaluation campaigns from the CESTA project, during which human evaluations were carried ...