We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
Workflow and business process modeling approaches have become essential for designing service collaborations when developing SOA-based systems. To derive actual executable busines...
Carsten Lohmann, Joel Greenyer, Juanjuan Jiang, Ta...
Visual modeling languages for discrete behavior modeling allow the modeler to describe how systems develop over time during system runs. Models of these languages are the basis fo...
Enrico Biermann, Claudia Ermel, Jonas Hurrelmann, ...
New technological trends lead to the increasing use of network technologies in automation. Especially the Ethernet with TCP/IP and wireless networks find growing acceptance. The r...