Zobrazeno 1 - 10
of 2 785
pro vyhledávání: '"Jedynak A"'
Publikováno v:
Journal of Blood Medicine, Vol Volume 14, Pp 309-316 (2023)
Tomasz Kryczka,1,* Anna Jedynak,2,3,* Adam Olszewski,3,4 Lidia Sierpinska,5 Paula Kuzniarska,6 Dorota Sulejczak7 1Department of Development of Nursing and Social & Medical Sciences, Medical University of Warsaw, Warsaw, Poland; 2Department of
Externí odkaz:
https://doaj.org/article/7295c261cbef4fbda953a39cc192ffc3
The method of occupation kernels has been used to learn ordinary differential equations from data in a non-parametric way. We propose a two-step method for learning the drift and diffusion of a stochastic differential equation given snapshots of the
Externí odkaz:
http://arxiv.org/abs/2406.15661
We consider the problem of active learning in the context of spatial sampling for level set estimation (LSE), where the goal is to localize all regions where a function of interest lies above/below a given threshold as quickly as possible. We present
Externí odkaz:
http://arxiv.org/abs/2310.11985
Learning a nonparametric system of ordinary differential equations (ODEs) from $n$ trajectory snapshots in a $d$-dimensional state space requires learning $d$ functions of $d$ variables. Explicit formulations scale quadratically in $d$ unless additio
Externí odkaz:
http://arxiv.org/abs/2306.10189
Publikováno v:
MATEC Web of Conferences, Vol 190, p 02005 (2018)
Within the scope of consumer-oriented production, individuality and cost-effectiveness are two essential aspects, which can barely be met by traditional manufacturing technologies. Conventional metal forming techniques are suitable for large batch si
Externí odkaz:
https://doaj.org/article/929dc9c0989840c897fb5110066abbc9
Learning nonparametric systems of Ordinary Differential Equations (ODEs) dot x = f(t,x) from noisy data is an emerging machine learning topic. We use the well-developed theory of Reproducing Kernel Hilbert Spaces (RKHS) to define candidates for f for
Externí odkaz:
http://arxiv.org/abs/2206.15215
Autor:
Jedynak, Paulina, Siroux, Valérie, Broséus, Lucile, Tost, Jörg, Busato, Florence, Gabet, Stephan, Thomsen, Cathrine, Sakhi, Amrit K., Sabaredzovic, Azemira, Lyon-Caen, Sarah, Bayat, Sam, Slama, Rémy, Philippat, Claire, Lepeule, Johanna
Publikováno v:
In Environment International July 2024 189
Publikováno v:
In Journal of Computational Physics 15 June 2024 507
Autor:
Banasik, Aleksandra, Kostowski, Wojciech, Rolf, Radosław, Figiel, Michał, Jedynak, Andrzej, Barzantny, Marcel
Publikováno v:
In Sustainable Energy Technologies and Assessments June 2024 66
Autor:
Ouidir, Marion, Jedynak, Paulina, Rolland, Matthieu, Lyon-Caen, Sarah, Thomsen, Cathrine, Sakhi, Amrit K., Sabaredzovic, Azemira, Bayat, Sam, Slama, Rémy, Philippat, Claire
Publikováno v:
In Environment International April 2024 186