نتایج جستجو برای: uncertainties
تعداد نتایج: 43918 فیلتر نتایج به سال:
We present statistical and interval techniques for evaluating the uncertainties associated with geophysical tomographic inversion problems, including estimation of data errors, model errors, and total solution uncertainties. These techniques are applied to the inversion of traveltime data collected in a cross well seismic experiment. The inversion method uses the conjugate gradient technique, i...
Dynamic modelling of biochemical reaction networks has to cope with the inherent uncertainty about biological processes, concerning not only data and parameters but also kinetics and structure. These different types of uncertainty are nested within each other: uncertain network structures contain uncertain reaction kinetics, which in turn are governed by uncertain parameters. Here, the authors ...
This paper deals with the description and assessment of uncertainties in land use data derived from Remote Sensing observations, in the context of hydrological studies. Land use is a categorical regionalised variable reporting the main socio-economic role each location has, where the role is inferred from the pattern of occupation of land. The properties of this pattern that are relevant to hyd...
Abstract This paper considers call routing in a telecommunications network. The network demands are assumed to be driven by Brownian motions and call routing takes place either directly or alternatively via an intermediate node. The expected routing processes and blocking probabilities are solved in terms of trivariate normal distributions. We consider the effects of demand uncertainty levels a...
In this paper, we study the problem of multi-robot perimeter patrol in adversarial environments, under uncertainty. In this problem, the robots patrol around a closed area, where their goal is to patrol in a way that maximizes their chances of detecting an adversary trying to penetrate into the area. Uncertainties may rise in different aspects in this domain, and herein our focus is twofold. Fi...
Distributed knowledge based applications in open domain rely on common sense information which is bound to be uncertain and incomplete. To draw the useful conclusions from ambiguous data, one must address uncertainties and connicts incurred in a holis-tic view. No integrated frameworks are viable without an in-depth analysis of con-icts incurred by uncertainties. In this paper , we give such an...
Combining measurements which have " theoretical uncertainties " is a delicate matter, due to an unclear statistical basis. We present an algorithm based on the notion that a theoretical uncertainty represents an estimate of bias.
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