The Naive Mix is a new supervised learning algorithm based on sequential model selection. The usual objective of model selection is to nd a single proba-bilistic model that adequately characterizes, i.e. ts, the data in a training sample. The Naive Mix combines models discarded during the selection process with the best{{tting model to form an averaged probabilistic model. This is shown to impr...

In the past independent IT security evaluation according to published criteria has not realized its potential for the assessment of privacy enhancing technologies (PETs). Main reason for this was, that PETs were not covered appropriately in the evaluation criteria. This situation has changed somewhat, and therefore this paper reports on a case study, in which we developed Protection Profiles fo...

Road distress results in high maintenance costs. However, increased understandings of asphalt behaviour and properties coupled with technological developments have allowed paving technologists to examine the benefits of introducing additives and modifiers. As a result, polymers have become extremely popular as modifiers to improve the performance of the asphalt mix. This study investigates the ...

Recently, the media monitoring industry shows increased interest in applying automated audio identification systems for revenue distribution of DJ performances played in discotheques. DJ mixes incorporate a wide variety of signal modifications, e.g. pitch shifting, tempo modifications, cross-fading and beat-matching. These signal modifications are expected to be more severe than what is usually...