Bagging and boosting, two effective machine learning techniques, are applied to natural language parsing. Experiments using these techniques with a trainable statistical parser ar...
— In the last few years, efforts have been done towards bridging the gap between agent technology and de facto standard technologies, aiming at introducing multi-agent systems in...
Sonia Bergamaschi, Gionata Gelati, Francesco Guerr...
Abstract. In the context of deductive program verification, supporting floatingpoint computations is tricky. We propose an expressive language to formally specify behavioral proper...
Overture is a community-based initiative that aims to develop a common open-source platform integrating a range of tools for constructing and analysing formal models of systems us...
Peter Gorm Larsen, Nick Battle, Miguel Ferreira, J...
Model checking techniques have traditionally dealt with temporal logic languages and automata interpreted over -words, i.e., infinite in the future but finite in the past. However...
Matteo Pradella, Angelo Morzenti, Pierluigi San Pi...