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Titlebook: Uncertainty Modelling in Data Science; Sébastien Destercke,Thierry Denoeux,Olgierd Hrynie Conference proceedings 2019 Springer Nature Swit

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31#
發(fā)表于 2025-3-26 21:41:20 | 只看該作者
Guillaume Dendievel,Sebastien Destercke,Pierre Wachalskipace could be referred to as set-theoretic methods. The most popular and clear link is that with Lyapunov theory and positive invariance. Lyapunov functions are positi- de?nite energy-type functions of the state variables, which have the property of being decreasing in time and are fundamental tools
32#
發(fā)表于 2025-3-27 04:32:58 | 只看該作者
33#
發(fā)表于 2025-3-27 05:49:16 | 只看該作者
34#
發(fā)表于 2025-3-27 12:05:27 | 只看該作者
Maria Brigida Ferraro,Paolo Giordanialued mappings..The volume will appeal to students of mathematics, economics, and engineering, as well as to mathematics professionals interested in applications of the theory of set-valued stochastic integrals..978-3-030-40331-7978-3-030-40329-4Series ISSN 1931-6828 Series E-ISSN 1931-6836
35#
發(fā)表于 2025-3-27 14:02:02 | 只看該作者
36#
發(fā)表于 2025-3-27 18:31:26 | 只看該作者
Romain Guillaume,Didier Duboislatively young developments. In the lectures we tried to stay clear of both oversimplification and extreme technicality. The result is a text, that should not cause difficulties to a reader with a working knowledge of mathematics. The developments sketched in this book are fundamental for many areas
37#
發(fā)表于 2025-3-27 22:02:41 | 只看該作者
38#
發(fā)表于 2025-3-28 03:20:31 | 只看該作者
39#
發(fā)表于 2025-3-28 07:23:45 | 只看該作者
Ji?í Kupka,Pavel Rusnok mathematics students who are already familiar with basic analysis, algebra and linear algebra. It contains numerous exercises of varying difficulty and can be used for self-study, though it is ideally suited as a text for a one-semester university course in the second or third year..
40#
發(fā)表于 2025-3-28 12:44:04 | 只看該作者
Central Moments of a Fuzzy Random Variable Using the Signed Distance: A Look Towards the Variance,g this distance in approximating the square of a fuzzy difference, we can get an unbiased estimator of the variance. Finally, we prove that in some conditions our methodology related to the signed distance returns an exact crisp variance.
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