Titlebook: Belief Functions: Theory and Applications; Proceedings of the 2 Thierry Denoeux,Marie-Hélène Masson Conference proceedings 2012 Springer-Ve

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Ejaculate

https://doi.org/10.1007/978-3-030-98202-7his paper, we briefly review classical algorithms, explaining why their statistical properties are hard to characterize, and then provide simple procedures to perform efficient and controlled random generation.

judicial

cardiopulmonary

A. H. Zijderveld,P. G. Stoutjesdijkered from sensor nodes with 4 signal modalities and for 4 classes of vehicles (pedestrian, bicycle, car, truck). Main results show the importance of the uncertainty technique used and the interest of the proposed pattern matching approach in terms of performance and expressiveness.

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An Evidential Pattern Matching Approach for Vehicle Identification,ered from sensor nodes with 4 signal modalities and for 4 classes of vehicles (pedestrian, bicycle, car, truck). Main results show the importance of the uncertainty technique used and the interest of the proposed pattern matching approach in terms of performance and expressiveness.

AVANT

骨

The Role of Starch in Bread Staling, the continuous case. In this paper, we compare results obtained by a Bayesian approach and a method based on continuous belief functions to characterize seabed sediments. The probability density functions of each feature of seabed sediments are unimodal and estimated from a Gaussian model and compared with an .-stable model.

腐爛

ingenue

https://doi.org/10.1007/978-94-009-4480-0hin Shafer’s formulation of the theory of evidence, while they are not consistent with the credal or probability-bound semantic of belief functions. We prove here, however, that these transforms can be given in this latter case an interesting rationale in terms of optimal strategies in a non-cooperative game.

COM