This paper proposes the use of constructive ordinals as mistake bounds in the on-line learning model. This approach elegantly generalizes the applicability of the on-line mistake ...
Any attempt at automated software analysis or modification must be preceded by a comprehension step, i.e. parsing. This task, while often considered straightforward, can in fact ...
In this paper we propose some extensions necessary to enable the speci cation and description language SDL to become an appropriate formalism for the design of real-time and embedd...
Marius Bozga, Susanne Graf, Laurent Mounier, Iulia...
The automotive industry has a growing demand for the seamless integration of safety analysis tools into the model-based development toolchain for embedded systems. This requires t...
Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to potential ap...