Abstract. This text describes how persistent object system technology developed in European basic research is being used by a small German startup software company to realize innov...
Andreas Gawecki, Florian Matthes, Joachim W. Schmi...
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
ion can improve performance without significantly breaking layered abstractions; explicit bursts are preferable to steady, constant bitrate traffic. Furthermore, the vagaries and c...
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
In evaluations of text entry methods, participants enter phrases of text using a technique of interest while performance data are collected. This paper describes and publishes (vi...