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? • comment se comportent-elles face à des données hétérogènes (par exemple, personnalisées ou dont les distributions statistiques ne sont pas identiques dans tous les ensembles de données), ce qui est fréquent
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Laboratoire National de Métrologie et d'Essais - LNE | Paris 15, le de France | France | 14 days ago
according to established rules, the second approach can pave the way to a respective verification service provided by European NMIs. Reference data generation and robust point cloud partitioning algorithms
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 15 days ago
to compare base approaches (no active learning) with different state-of-the-art active learning algorithms including our solutions; Participate to the redaction of a publication exposing the methodologies and
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the values are drawn independently from known distributions. These results have been widely applied in areas such as auction theory, resource allocation, and stochastic optimization. The interdependent value
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, the post-doctoral fellow will consider designing distributed learning algorithms for streaming manifold-valued data. Experiments will be carried out on urban, coastal, and underwater DAS data. The novelty
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frameworks, as they impose minimal, if any, assumptions about the underlying data distribution, making them more effective for detecting a wide range of changes. The CPD algorithms will be designed
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Université de Technologie de Belfort-Montbéliard | Belfort, Franche Comte | France | about 2 months ago
), Dedicated HPC solvers (domain decomposition, parallel/distributed computing), Formulation and solution of optimisation problems (automation, optimal structural design). The developments will follow open
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. The monitoring of telecommunications and energy production and distribution networks are characteristic examples of such time-critical applications. The project aims to propose unsupervised online CPD algorithms
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suitable data models [CSC+23]. Objectives As far as the design of efficient numerical algorithms in an off-the-grid setting is concerned, the problem is challenging, since the optimization is defined in
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. Processing this response provides estimates of the local variations in acoustic pressure along the fiber, over distances ranging from 40km up to 140km with some systems. This technique, called Distributed