Distance-based methods in machine learning and pattern recognition have to rely on a metric distance between points in the input space. Instead of specifying a metric a priori, we...
The tutor tries, by using feedbacks, to keep the learner’s attention and to increase his motivation and then his performance. However, the effectiveness of the tutor’s feedbac...
We present a simulation-based performance model to analyze a parallel sparse LU factorization algorithm on modern cached-based, high-end parallel architectures. We consider supern...
Research augmenting B machines presented at B2007 has demonstrated how fragments of control flow expressed as annotations can be added to associated machine operations, and shown t...
—The central paradigm of today’s successful Internet is to keep the network core simple and move complexity towards the network end points. Unfortunately, this very paradigm li...