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We develop tractable semidefinite programming based approximations for distributionally robust individual and joint chance constraints, assuming that only the first- and second-order moments as well as the support of the uncertain parameters are given. It ...
Internet incarne parfaitement la mondialisation. Puissante technique spatiale, Internet oeuvre en effet à rendre la distance non pertinente à l’échelle du Monde. Cette capacité de synchorisation sur de vastes étendues questionne les échelles intermédiaires ...
Du point de vue des savoirs, Internet est peut-être ce que pouvait être une «ville phare» telle qu’Alexandrie, Bagdad, Paris ou Rome. Ces villes furent autant de lieux qui incarnaient différentes expériences historiques des savoirs, chacune étant emblémati ...
Critiquing-based recommender systems elicit users' feedback, called critiques, which they made on the recommended items. This conversational style of interaction is in contract to the standard model where users receive recommendations in a single interacti ...
First we present Unison, a conceptual music recommender system for groups of people; the system aims at generating a playlist that takes musical tastes of all the group members into account. We discuss both theoretical and practical concerns related to suc ...
This paper deals with compatible component selection problems, where the goal is to find combinations of components satisfying design constraints given a product structure, component alternatives available in design catalogue for each subsystem of the prod ...
A novel formulation of beamforming is proposed for acquisition of the signals in reverberant acoustic clutter of interferences and noise. We derive the beamforming methods which incorporate the sparsity structure pertained to the acoustic source distributi ...
Real world planning applications typically involve making decisions that consumes limited resources, which requires both planning and scheduling. In this paper we propose a new approach that bridges the gap between planning and scheduling by explicitly mod ...
Because of the abundance of news on the web, news recommendation is an important problem. We compare three approaches for personalized news recommendation: collaborative filtering at the level of news items, content-based system recommending items with sim ...
The subject of real-time, steady-state optimization under significant uncertainty is addressed in this paper. Specifically, the use of constraint-adaptation schemes is reviewed, and it is shown that, in general, such schemes cannot guarantee process feasib ...
