As digital images have been propagated all over the world, identification techniques for image sources become more important. In this paper, we analyze properties of the scanner a...
Abstract. Many reinforcement learning domains are highly relational. While traditional temporal-difference methods can be applied to these domains, they are limited in their capaci...
Trevor Walker, Lisa Torrey, Jude W. Shavlik, Richa...
— Many software development methodologies are based on modeling the real world. In some of these methodologies, real-world models are gradually transformed into software models, ...
A difficult challenge in the industrialisation of Model-Driven Development is managing different versions of models. Different versions may arise at any time during the development...
Klaus-D. Engel, Richard F. Paige, Dimitrios S. Kol...
Domain experts are essential for successful software development, but these experts may not recognize their ideas when abstracted into Unified Modeling Language (UML) or ontologie...