In this paper, a method is presented for the efficient estimation of rare-event (buffer overflow) probabilities in queueing networks using importance sampling. Unlike previously pr...
A new approach for engine calibration and control is proposed. In this paper, we present our research results on the implementation of adaptive critic designs for self-learning con...
Experience sampling techniques can be used to study user experiences with products in a natural setting and over time. Nowadays, researchers can use selective sampling to link the ...
In previous work [2] we considered the problem of image interpolation from an adaptive optimal recovery point of view. We showed how a training set S determines a quadratic signal...
This paper is devoted to a study of the impact of using bound sets in biobjective optimization. This notion, introduced by Villareal and Karwan [19], has been independently revisit...