Zobrazeno 1 - 10
of 924
pro vyhledávání: '"Michel, Bertrand"'
Kernel-based testing has revolutionized the field of non-parametric tests through the embedding of distributions in an RKHS. This strategy has proven to be powerful and flexible, yet its applicability has been limited to the standard two-sample case,
Externí odkaz:
http://arxiv.org/abs/2405.13799
Autor:
Foka, Marius Landry, Nimpa, Romain Pefoukeu, Mbatakou, Salomon Joseph, Djiadeu, Michel Bertrand Ngaha, Bouetou, Thomas Bouetou
In this paper, using the Milnor-type theorem technique, we provide on each nilpotent five dimensional Lie group, some global existence result of a pair (g, c) consisting of a left-invariant Riemannian metric g and a positive constant c such that Ric(
Externí odkaz:
http://arxiv.org/abs/2403.08402
Unsupervised data representation and visualization using tools from topology is an active and growing field of Topological Data Analysis (TDA) and data science. Its most prominent line of work is based on the so-called Mapper graph, which is a combin
Externí odkaz:
http://arxiv.org/abs/2402.12854
Autor:
Nouy, Anthony, Michel, Bertrand
We consider the problem of approximating a function from $L^2$ by an element of a given $m$-dimensional space $V_m$, associated with some feature map $\varphi$, using evaluations of the function at random points $x_1,\dots,x_n$. After recalling some
Externí odkaz:
http://arxiv.org/abs/2312.14057
Autor:
Ozier-Lafontaine, Anthony, Fourneaux, Camille, Durif, Ghislain, Arsenteva, Polina, Vallot, Céline, Gandrillon, Olivier, Giraud, Sandrine, Michel, Bertrand, Picard, Franck
Single-cell technologies offer insights into molecular feature distributions, but comparing them poses challenges. We propose a kernel-testing framework for non-linear cell-wise distribution comparison, analyzing gene expression and epigenomic modifi
Externí odkaz:
http://arxiv.org/abs/2307.08509
We present a method to construct signatures of periodic-like data. Based on topological considerations, our construction encodes information about the order and values of local extrema. Its main strength is robustness to reparametrisation of the obse
Externí odkaz:
http://arxiv.org/abs/2306.13453
Publikováno v:
Physica A: Statistical Mechanics and its Applications, Available online 5 October 2022, 128224
Topological data analysis has recently been applied to the study of dynamic networks. In this context, an algorithm was introduced and helps, among other things, to detect early warning signals of abnormal changes in the dynamic network under study.
Externí odkaz:
http://arxiv.org/abs/2210.08891
We consider a signal composed of several periods of a periodic function, of which we observe a noisy reparametrisation. The phase estimation problem consists of finding that reparametrisation, and, in particular, the number of observed periods. Exist
Externí odkaz:
http://arxiv.org/abs/2205.14390
Autor:
Robert Christel Edzoa, Michel Bertrand Mbog, Vivien Piercy Lotse Tedontsah, Lionel Bitom Mamdem, Gilbert François Ngon Ngon, Bernard Tassongwa, Dieudonné Bitom, Jacques Etame, Kevin Djatsa Nguedia
Publikováno v:
Water Practice and Technology, Vol 19, Iss 1, Pp 82-98 (2024)
The aim of this study was to determine the impact of leachates, produced by one of Cameroon's largest waste dumps (Nkolfoulou), on the water quality and the risks posed to public health. A cartographic analysis was carried out, comparing the land use
Externí odkaz:
https://doaj.org/article/27751e2c0e3349f1a332851d552514bb
Autor:
Michel Bertrand
Publikováno v:
Caravelle, Vol 120, Pp 194-198 (2023)
Externí odkaz:
https://doaj.org/article/5f9fa61d029642e0af35cb7e3b768498