Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
The Bayesian framework offers a number of techniques for inferring an individual's knowledge state from evidence of mastery of concepts or skills. A typical application where ...
Abstract. This paper concerns the exploration of a natural environment by a mobile robot equipped with both a video camera and a range sensor (stereo or laser range finder); we fo...
Carlos Parra, Rafael Murrieta-Cid, Michel Devy, Ma...
Form features present a rather attractive building block in computer-aided design environments for a variety of applications, providing the embodiment of engineering semantics in ...
Speed and availability of information, delivered in past years by Internet technologies, made it easier for any company to outsource primary activities, which resulted in unbundli...