While most theoretical work in machine learning has focused on the complexity of learning, recently there has been increasing interest in formally studying the complexity of teach...
Abstract-- The problem of optimally controlling the processing rate of tasks in Discrete Event Systems (DES) with hard real-time constraints has been solved in [9] under the assump...
Regret minimization has proven to be a very powerful tool in both computational learning theory and online algorithms. Regret minimization algorithms can guarantee, for a single de...
Abstract—In this contribution, we propose an original algorithm for self-localization in mobile ad-hoc networks. The proposed technique, based on interval analysis, is suited to ...
— This paper describes an original control law called qualitative servoing. The particularity of this method is that no specific desired value is specified for the visual featu...