Research on social robots is mainly comprised of research into algorithmic problems in order to expand a robot´s capabilities to improve communication with human beings. Also, a ...
Frank Hegel, Claudia Muhl, Britta Wrede, Martina H...
In the robust track, we mainly tested our passage-based retrieval model with different passage sizes and weighting schemes. In our approach, we used two retrieval models, namely t...
Abstract—Interest in multimodal optimization function is expanding rapidly since real-world optimization problems often require the location of multiple optima in the search spac...
Automated feature discovery is a fundamental problem in machine learning. Although classical feature discovery methods do not guarantee optimal solutions in general, it has been r...
Query auto completion is known to provide poor predictions of the user’s query when her input prefix is very short (e.g., one or two characters). In this paper we show that con...