Zobrazeno 1 - 10
of 1 456
pro vyhledávání: '"Heeringa, P."'
Classical model reduction techniques project the governing equations onto a linear subspace of the original state space. More recent data-driven techniques use neural networks to enable nonlinear projections. Whilst those often enable stronger compre
Externí odkaz:
http://arxiv.org/abs/2406.12672
This paper presents a method for finding a sparse representation of Barron functions. Specifically, given an $L^2$ function $f$, the inverse scale space flow is used to find a sparse measure $\mu$ minimising the $L^2$ loss between the Barron function
Externí odkaz:
http://arxiv.org/abs/2312.02671
Autor:
R. Tobal, J. Potjewijd, F. de Vries, D. P.C. van Doorn, A. Jaminon, R. Bittner, C. Akbulut, V. van Empel, P. Heeringa, J. Damoiseaux, L. Schurgers, P. van Paassen
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Pulmonary arterial hypertension (PAH) is a disease characterized by pulmonary vascular remodeling. Since dephosphorylated-uncarboxylated Matrix Gla-Protein (dp-ucMGP) is associated with cardiovascular mortality in systemic sclerosis, a disea
Externí odkaz:
https://doaj.org/article/f818e9226fb64d1db9cbb3786ceb7172
The approximation properties of infinitely wide shallow neural networks heavily depend on the choice of the activation function. To understand this influence, we study embeddings between Barron spaces with different activation functions. These embedd
Externí odkaz:
http://arxiv.org/abs/2305.15839
Autor:
Viola Bex-Reimert, Giel Heeringa
Publikováno v:
Verfassungsblog, Iss 2366-7044 (2024)
On 13 September 2024, ahead of the presentation of the State Budget, the new Dutch coalition presented their finalized plan to implement what it has labelled as the strictest admission regime ever in the field of asylum law. To implement its Outline
Externí odkaz:
https://doaj.org/article/c561bd26ac4948fc89bea5e9659836fe
Autor:
Catherine L. Dempsey, Jingning Ao, Matthew W. Georg, Pablo A. Aliaga, David A. Brent, David M. Benedek, Kelly L. Zuromski, Matthew K. Nock, Steven G. Heeringa, Ronald C. Kessler, Murray B. Stein, Robert J. Ursano
Publikováno v:
Journal of Mood and Anxiety Disorders, Vol 7, Iss , Pp 100064- (2024)
Objectives: The rate of suicide increased in members of the United States Army since 2011 after the Iraq and Afghanistan wars and continues to be a major concern. In order to reverse this disturbing trend, it is vital to understand the risk and prote
Externí odkaz:
https://doaj.org/article/71afeb5a8058476ea2573bfa2726525d
Reproducing Kernel Hilbert spaces (RKHS) have been a very successful tool in various areas of machine learning. Recently, Barron spaces have been used to prove bounds on the generalisation error for neural networks. Unfortunately, Barron spaces canno
Externí odkaz:
http://arxiv.org/abs/2211.05020
Autor:
Amarins N. Heeringa
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-13 (2024)
Abstract This dataset was collected to study the functional consequences of age-related hearing loss for the auditory nerve, which carries acoustic information from the periphery to the central auditory system. Using high-impedance glass electrodes,
Externí odkaz:
https://doaj.org/article/49a364c0baf1429995c4fdbd079585bf
Publikováno v:
Heliyon, Vol 10, Iss 16, Pp e36171- (2024)
Outdoor air pollution is a significant problem worldwide. Policies developed to mitigate air pollution require support from local residents to be successful. While some research has examined various social and psychological metrics associated with su
Externí odkaz:
https://doaj.org/article/22f1fe19d8b44931abdebf27e053123e
This article reports ongoing investigations into phonetic change of dialect groups in the northern Netherlandic language area, particularly the Frisian and Low Saxon dialect groups, which are known to differ in vitality. To achieve this, we combine e
Externí odkaz:
http://arxiv.org/abs/2110.07918