Abstract. Too much information kills information. This common statement applies to huge databases, where state of the art search engines may retrieve hundreds of very similar docum...
Yann Landrin-Schweitzer, Pierre Collet, Evelyne Lu...
Abstract. We consider the case where inconsistencies are present between a system and its corresponding model, used for automatic verification. Such inconsistencies can be the resu...
This article describes the impact of learning in asynchronous discussion groups on students’ levels of knowledge construction. A design-based approach enabled the comparison of t...
Tammy Schellens, Hilde van Keer, Bram de Wever, Ma...
The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applicati...
Satisfiability algorithms have become one of the most practical and successful approaches for solving a variety of real-world problems, including hardware verification, experime...