Recently, we have introduced a novel approach to dynamic programming and reinforcement learning that is based on maintaining explicit representations of stationary distributions i...
Tao Wang, Daniel J. Lizotte, Michael H. Bowling, D...
Developing highly efficient and reliable embedded systems demands hardware/software (HW/SW) co-design and, therefore, co-simulation. In order to be highly configurable, embedded...
In this paper we propose an approach to semantic matchmaking that exploits various knowledge representation technologies to find most promising partners in peer-to-peer e-marketpl...
Azzurra Ragone, Umberto Straccia, Tommaso Di Noia,...
Modern development environments integrate various static analyses into the build process. Analyses that analyze the whole project whenever the project changes are impractical in th...
Michael Eichberg, Matthias Kahl, Diptikalyan Saha,...
Model-based diagnosis applied to computer programs has been studied for several years. Although there are still weaknesses in the used models, especially on dealing with dynamic da...