Large scale ontology applications require efficient and robust description logic (DL) reasoning services. Expressive DLs usually have very high worst case complexity while tractab...
1 We propose a paradigm for ecologically valid, authentic, unobtrusive, automatic, data-rich, fast, robust, and sensitive evaluation of computer-assisted student performance. We i...
In this paper, we present an active audition system for humanoid robot "SIG the humanoid". The audition system of the highly intelligent humanoid requires localization o...
Kazuhiro Nakadai, Tino Lourens, Hiroshi G. Okuno, ...
Abstract. Being aware of the gap between technological offers and user expectations, the paper aims to illustrate the necessity of anthropocentric designs ("user-pulled")...
Reasoning with both probabilistic and deterministic dependencies is important for many real-world problems, and in particular for the emerging field of statistical relational lear...