Zobrazeno 1 - 10
of 121
pro vyhledávání: '"Richard Hugo"'
Publikováno v:
Atmosphere, Vol 15, Iss 5, p 561 (2024)
Volcanic glass has been used extensively as a paleoaltimeter. Deuterium (2H) concentrations in glass have been found to be stable over geologic timescales, making δ2H (also known as δD) a reliable proxy for ancient water chemistry. However, continu
Externí odkaz:
https://doaj.org/article/94e82e6230034bc3b53b4c39ab2b8752
We consider the problem of mean estimation under user-level local differential privacy, where $n$ users are contributing through their local pool of data samples. Previous work assume that the number of data samples is the same across users. In contr
Externí odkaz:
http://arxiv.org/abs/2410.09506
Autor:
Richard Hugo Clavijo Flores
Publikováno v:
Ciencia y Educación, Vol 1, Iss 3, Pp 32-43 (2020)
La presente investigación titulada “Influencia de un programa de supervisión educativa en el clima organizacional del colegio García Moreno del cantón El Guabo - Ecuador - 2019.”, tiene como objetivo Determinar la influencia del Programa de s
Externí odkaz:
https://doaj.org/article/990abccbcfe6422b9dd241dbbcb4ddd2
Multiplayer bandits have recently been extensively studied because of their application to cognitive radio networks. While the literature mostly considers synchronous players, radio networks (e.g. for IoT) tend to have asynchronous devices. This moti
Externí odkaz:
http://arxiv.org/abs/2305.19691
Autor:
Merlis, Nadav, Richard, Hugo, Sentenac, Flore, Odic, Corentin, Molina, Mathieu, Perchet, Vianney
We study single-machine scheduling of jobs, each belonging to a job type that determines its duration distribution. We start by analyzing the scenario where the type characteristics are known and then move to two learning scenarios where the types ar
Externí odkaz:
http://arxiv.org/abs/2205.15695
We consider shared response modeling, a multi-view learning problem where one wants to identify common components from multiple datasets or views. We introduce Shared Independent Component Analysis (ShICA) that models each view as a linear transform
Externí odkaz:
http://arxiv.org/abs/2110.13502
Advances in computational cognitive neuroimaging research are related to the availability of large amounts of labeled brain imaging data, but such data are scarce and expensive to generate. While powerful data generation mechanisms, such as Generativ
Externí odkaz:
http://arxiv.org/abs/2107.06104
We consider a multi-view learning problem known as group independent component analysis (group ICA), where the goal is to recover shared independent sources from many views. The statistical modeling of this problem requires to take noise into account
Externí odkaz:
http://arxiv.org/abs/2102.10964
Autor:
Lacombe, Didier, Calmels, Nadège, Andre, Carole, Reboul, Marie-Pierre, Biancalana, Valérie, Bitoun, Anaïs, Cottet, Christian, de Castelmur, Marie, Haushalter, Virginie, Helot, Isabelle, Nourisson, Elsa, Philippe, Elodie, Pommier, Valentine, Arveiler, Benoit, Nabarette, Hervé, de Feraudy, Yvan, Raclet, Virginie, Ramousset, Carole, Reneaud, Hélène, Richard, Hugo, Romain, Sarah, Bouffard-Dubeau, Catherine, Pomies, Christine, Attarian, Shahram, Stalens, Caroline, Vaidie, Amandine, Espil-Taris, Caroline, Laugel, Vincent
Publikováno v:
In Bulletin de l'Académie Nationale de Médecine January 2024 208(1):86-94
Autor:
Richard, Hugo, Gresele, Luigi, Hyvärinen, Aapo, Thirion, Bertrand, Gramfort, Alexandre, Ablin, Pierre
Group studies involving large cohorts of subjects are important to draw general conclusions about brain functional organization. However, the aggregation of data coming from multiple subjects is challenging, since it requires accounting for large var
Externí odkaz:
http://arxiv.org/abs/2006.06635