We present the machine learning framework that we are developing, in order to support explorative search for non-trivial linguistic configurations in low-density languages (langua...
Embedded systems can be viewed as scaled-down versions of their one counterparts. In many cases, the software abstractions and libraries for embedded systems can be derived from l...
This paper introduces a domain ontology to describe learning material that compose a course, capable of providing adaptive e-learning environments and reusable educational resourc...
Adaptive predictive search (APS), is a learning system framework, which given little initial domain knowledge, increases its decision-making abilities in complex problems domains....
Model-driven software product lines are an emerging topic in research and industry, as they promise higher development speed and easier adaptability to customer needs. The generat...
Christoph Elsner, Daniel Lohmann, Wolfgang Schr&ou...