We consider the important problem of energy balanced data propagation in wireless sensor networks and we extend and generalize previous works by allowing adaptive energy assignment...
We consider the problem of tracking a given set of point features over large sequences of image frames. A classic procedure for monitoring the tracking quality consists in requirin...
One of the central challenges in reinforcement learning is to balance the exploration/exploitation tradeoff while scaling up to large problems. Although model-based reinforcement ...
Example Guided Abstraction Refinement (CEGAR) [6] framework. A number of wellengineered software model-checkers are available, e.g., SLAM [1] and BLAST [12]. Why build another one?...
Creating a valid software configuration of a product line can require laborious customizations involving multiple configuration file types, such as feature models, domain-specific ...
Christoph Elsner, Peter Ulbrich, Daniel Lohmann, W...