When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neura...
Abstract. This article deals with performance verifications of architecture models of real-time embedded systems. We focus on models verified with the real-time scheduling theory...
Alain Plantec, Frank Singhoff, Pierre Dissaux, J&e...
The creation of language resources for less-resourced languages like the historical ones benefits from the exploitation of language-independent tools and methods developed over th...
Greedy algorithms are simple, but their relative power is not well understood. The priority framework [5] captures a key notion of “greediness” in the sense that it processes (...
We discuss the challenges in developing decision support tools for commercial underwriting and describe how several different approaches to the underwriting problem have been addr...