Abstract. Domain specific modeling languages are of increasing importance for the development of software and other systems. Meta tools are needed to support rapid development of d...
Networks are becoming a unifying framework for modeling complex systems and network inference problems are frequently encountered in many fields. Here, I develop and apply a gener...
Academic subjects made judgmental forecasts of a graphically presented time series in a laboratory experiment. Besides the past realizations of the time series itself, the only av...
Otwin Becker, Johannes Leitner, Ulrike Leopold-Wil...
ct A very fast, low complexity algorithm for resolution scalable and random access decoding is presented. The algorithm is based on AGP (Alphabet and Group Partitioning) [1], where...
We apply adjacency matrix clustering to network attack graphs for attack correlation, prediction, and hypothesizing. We self-multiply the clustered adjacency matrices to show atta...