We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
Abstract— Autonomous robot navigation in outdoor scenarios gains increasing importance in various growing application areas. Whereas in non-urban domains such as deserts the prob...
Unit testing is a methodology for testing small parts of an application independently of whatever application uses them. It is time consuming and tedious to write unit tests, and ...
Model transformation means converting an input model available at the beginning of the transformation process to an output model. A widely used approach to model transformation us...