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7 papers · 1 filter
Generic Programming in OCaml
Florent Balestrieri, Michel Mauny
We present a library for generic programming in OCaml, adapting some techniques borrowed from other functional languages. The library makes use of three recent additions to OCaml:…
Model Selection for Mixture Models - Perspectives and Strategies
Gilles Celeux, Sylvia Fruewirth-Schnatter, Christian P. Robert
Determining the number G of components in a finite mixture distribution is an important and difficult inference issue. This is a most important question, because statistical infere…
Verification of an industrial asynchronous leader election algorithm using abstractions and parametric model checking
Étienne André, Laurent Fribourg, Jean-Marc Mota +1
The election of a leader in a network is a challenging task, especially when the processes are asynchronous, i.e., execute an algorithm with time-varying periods. Thales developed…
Statistical learning of geometric characteristics of wireless networks
Antoine Brochard, Bartłomiej Błaszczyszyn, Stéphane Mallat +1
Motivated by the prediction of cell loads in cellular networks, we formulate the following new, fundamental problem of statistical learning of geometric marks of point processes: A…
COGEVIS: A New Scale to Evaluate Cognition in Patients with Visual Deficiency
Claire Meyniel, Dalila Samri, Farah Stefano +9
We evaluated the cognitive status of visually impaired patients referred to low vision rehabilitation (LVR) based on a standard cognitive battery and a new evaluation tool, named t…
Precised approximations in elliptic homogenization beyond the periodic setting
Xavier Blanc, Marc Josien, Claude Le Bris
We consider homogenization problems for linear elliptic equations in divergence form. The coecients are assumed to be a local perturbation of some periodic background. We prove $W^…