Zobrazeno 1 - 10
of 3 699
pro vyhledávání: '"A. Latouche"'
The increased quantity of data has led to a soaring use of networks to model relationships between different objects, represented as nodes. Since the number of nodes can be particularly large, the network information must be summarised through node c
Externí odkaz:
http://arxiv.org/abs/2412.01302
A centrality measure of the cut-edges of an undirected graph, given in [Altafini et al.~SIMAX 2023] and based on Kemeny's constant, is revisited. A numerically more stable expression is given to compute this measure, and an explicit expression is pro
Externí odkaz:
http://arxiv.org/abs/2411.19603
Autor:
Metodiev, Martin, Perrot-Dockès, Marie, Ouadah, Sarah, Fosdick, Bailey K., Robin, Stéphane, Latouche, Pierre, Raftery, Adrian E.
We consider the problem of estimating a high-dimensional covariance matrix from a small number of observations when covariates on pairs of variables are available and the variables can have spatial structure. This is motivated by the problem arising
Externí odkaz:
http://arxiv.org/abs/2411.04520
Real world deployments of word alignment are almost certain to cover both high and low resource languages. However, the state-of-the-art for this task recommends a different model class depending on the availability of gold alignment training data fo
Externí odkaz:
http://arxiv.org/abs/2407.12881
Grammatical Error Detection (GED) methods rely heavily on human annotated error corpora. However, these annotations are unavailable in many low-resource languages. In this paper, we investigate GED in this context. Leveraging the zero-shot cross-ling
Externí odkaz:
http://arxiv.org/abs/2407.11854
Dating from the work of Neuts in the 1980s, the field of matrix-analytic methods has been developed to analyse discrete or continuous-time Markov chains with a two-dimensional state space in which the increment of a level variable is governed by an a
Externí odkaz:
http://arxiv.org/abs/2407.07440
Quantifying the phagocytosis of dynamic, unstained cells is essential for evaluating neurodegenerative diseases. However, measuring rapid cell interactions and distinguishing cells from background make this task very challenging when processing time-
Externí odkaz:
http://arxiv.org/abs/2304.13764
Numerical interactions leading to users sharing textual content published by others are naturally represented by a network where the individuals are associated with the nodes and the exchanged texts with the edges. To understand those heterogeneous a
Externí odkaz:
http://arxiv.org/abs/2304.08242
Autor:
Elise Dumas, Beatriz Grandal Rejo, Paul Gougis, Sophie Houzard, Judith Abécassis, Floriane Jochum, Benjamin Marande, Annabelle Ballesta, Elaine Del Nery, Thierry Dubois, Samar Alsafadi, Bernard Asselain, Aurélien Latouche, Marc Espie, Enora Laas, Florence Coussy, Clémentine Bouchez, Jean-Yves Pierga, Christine Le Bihan-Benjamin, Philippe-Jean Bousquet, Judicaël Hotton, Chloé-Agathe Azencott, Fabien Reyal, Anne-Sophie Hamy
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract Between 30% and 70% of patients with breast cancer have pre-existing chronic conditions, and more than half are on long-term non-cancer medication at the time of diagnosis. Preliminary epidemiological evidence suggests that some non-cancer m
Externí odkaz:
https://doaj.org/article/ef9fd876d61b484797a07b0a5cc370ea
Communication networks such as emails or social networks are now ubiquitous and their analysis has become a strategic field. In many applications, the goal is to automatically extract relevant information by looking at the nodes and their connections
Externí odkaz:
http://arxiv.org/abs/2209.10097