Zobrazeno 1 - 10
of 14 154
pro vyhledávání: '"Winder, A"'
Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance
Multi-Agent Reinforcement Learning (MARL) struggles with sample inefficiency and poor generalization [1]. These challenges are partially due to a lack of structure or inductive bias in the neural networks typically used in learning the policy. One su
Externí odkaz:
http://arxiv.org/abs/2410.02581
Autor:
Aljarid, Adel K. A., Winder, Jasper, Wei, Cencen, Venkatraman, Arvind, Tomes, Oliver, Soul, Aaron, Papageorgiou, Dimitrios G., Möbius, Matthias E., Boland, Conor S.
Nanoscience at times can seem out of reach to the developing world and the general public, with much of the equipment expensive and knowledge seemingly esoteric to nonexperts. Using only cheap, everyday household items, accessible research with real
Externí odkaz:
http://arxiv.org/abs/2401.15418
Autor:
Winder, Claire Guille-Biel
Publikováno v:
13th International Congress on Mathematical Education, International Commission on Mathematical Instruction, Jul 2016, Hambourg, Germany
We are interested in the learning of 6 to 7 years old children in implementations of a situation of reproduction of figure by folding presented in the first part of this article. In the second part we expose our problem as well as our hypothesis and
Externí odkaz:
http://arxiv.org/abs/2312.06730
Autor:
Stanley, Emma A. M., Souza, Raissa, Winder, Anthony, Gulve, Vedant, Amador, Kimberly, Wilms, Matthias, Forkert, Nils D.
Publikováno v:
Journal of the American Medical Informatics Association, 2024;, ocae165
Artificial intelligence (AI) models trained using medical images for clinical tasks often exhibit bias in the form of disparities in performance between subgroups. Since not all sources of biases in real-world medical imaging data are easily identifi
Externí odkaz:
http://arxiv.org/abs/2311.02115
Autor:
Hannah L. Morgan, Nader Eid, Nadine Holmes, Sonal Henson, Victoria Wright, Clare Coveney, Catherine Winder, Donna M. O’Neil, Warwick B. Dunn, David J. Boocock, Adam J. Watkins
Publikováno v:
BMC Biology, Vol 22, Iss 1, Pp 1-25 (2024)
Abstract Background The importance of parental diet in relation to eventual offspring health is increasing in prominence due to the increased frequency of parents of reproductive age consuming poor diets. Whilst maternal health and offspring outcome
Externí odkaz:
https://doaj.org/article/e1295ee3491140b3827e61c34312c530
Publikováno v:
JDS Communications, Vol 5, Iss 4, Pp 317-321 (2024)
This study aimed to evaluate the effectiveness of an automated tail movement sensor device (Moocall; Bluebell, Dublin, Ireland) to predict time of calving in dairy cows. At a commercial dairy farm in southern Ontario, Moocall (MC) devices were attach
Externí odkaz:
https://doaj.org/article/53376f0b7de94d93912c22e2c9615a25
Publikováno v:
Journal of Dairy Science, Vol 107, Iss 7, Pp 4605-4615 (2024)
ABSTRACT: The objective of this review was to outline current implementation of biosecurity, the impact of biosecurity on the industry, and producers' and veterinarians' perceptions of biosecurity, with a focus on the Canadian dairy industry. Biosecu
Externí odkaz:
https://doaj.org/article/257aabcb602d4a32a08d66d35a271426
Publikováno v:
Limnology and Oceanography Letters, Vol 9, Iss 3, Pp 209-218 (2024)
Abstract Understanding species phenology and temporal co‐occurrence across trophic levels is essential to assess anthropogenic impacts on ecological interactions. We analyzed 15 yr of monitoring data to identify trends and drivers of timing and mag
Externí odkaz:
https://doaj.org/article/7d6b1ef3c83444719c7bfb52c4544e9b
Autor:
Noah Ngisiange, Barnabas Tarimo, Lillian Daudi, Stephen Mwangi, Fadhili Malesa, Rushingisha George, Margareth S. Kyewalyanga, Martin Gullström, Melckzedeck Osore, James Mwaluma, Monika Winder
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Seagrass habitats play a major role in fisheries productivity through nursery functions and feeding grounds for diverse fish species. However, little is known about the seasonal distribution of fish larvae at large spatial scales in coastal
Externí odkaz:
https://doaj.org/article/11246ae1683f475c9988f1c30f9463c2
Current methods for estimating the required neural-network size for a given problem class have focused on methods that can be computationally intensive, such as neural-architecture search and pruning. In contrast, methods that add capacity to neural
Externí odkaz:
http://arxiv.org/abs/2301.05744