Zobrazeno 1 - 10
of 118 226
pro vyhledávání: '"Carson A"'
Autor:
Carson A. Wills, Xiaoming Liu, Longgui Chen, Yuanjun Zhao, Zhenqiu Liu, Vladimir S. Spiegelman, Jeffrey Sundstrom, Hong-Gang Wang
Publikováno v:
Genes and Diseases, Vol 11, Iss 4, Pp 101017- (2024)
Externí odkaz:
https://doaj.org/article/5f8937637a8f41b695486dea0b968e0c
Autor:
Lydia A. Laughlin, Hailey M. Freeman, Carson A. Blevins, Victoria E. Depuy, Alex Gatewood, Blaine MacKenzie, Nathan Ranallo, John McQuaig, Craig A. Davis, Laura E. Goodman, Samuel D. Fuhlendorf, Kent Andersson, Courtney J. Duchardt, M. Colter Chitwood
Publikováno v:
Wildlife Society Bulletin, Vol 47, Iss 4, Pp n/a-n/a (2023)
Abstract Camera traps are an important noninvasive tool used by scientists to monitor wildlife efficiently and at reduced costs. New camera trap features improve performance and encourage increased use by researchers and the public. Cellular transmis
Externí odkaz:
https://doaj.org/article/0d44cd2efe344f89b1ab9ec390929b47
Publikováno v:
Ecosphere, Vol 13, Iss 12, Pp n/a-n/a (2022)
Abstract Floodplains are highly productive environments that provide critical rearing habitat and increased growth for diverse native fishes, including juvenile Chinook salmon (Oncorhynchus tshawytscha). Yet, stranding during the flood recession is a
Externí odkaz:
https://doaj.org/article/2ab5fcbae5d840438cb3925bf61dbc85
Autor:
Collins, Carson, Feldman, William M
We study the uniqueness and regularity of minimizing movements solutions of a droplet model in the case of piecewise monotone forcing. We show that such solutions evolve uniquely on each interval of monotonicity, but branching non-uniqueness may occu
Externí odkaz:
http://arxiv.org/abs/2408.15984
Interest in communication-avoiding orthogonalization schemes for high-performance computing has been growing recently. This manuscript addresses open questions about the numerical stability of various block classical Gram-Schmidt variants that have b
Externí odkaz:
http://arxiv.org/abs/2408.10109
An FDA for AI? Pitfalls and Plausibility of Approval Regulation for Frontier Artificial Intelligence
Autor:
Carpenter, Daniel, Ezell, Carson
Observers and practitioners of artificial intelligence (AI) have proposed an FDA-style licensing regime for the most advanced AI models, or 'frontier' models. In this paper, we explore the applicability of approval regulation -- that is, regulation o
Externí odkaz:
http://arxiv.org/abs/2408.00821
Hierarchical matrix computations have attracted significant attention in the science and engineering community as exploiting data-sparse structures can significantly reduce the computational complexity of many important kernels. One particularly popu
Externí odkaz:
http://arxiv.org/abs/2407.21637
The $k$-means algorithm is one of the most popular and critical techniques in data mining and machine learning, and it has achieved significant success in numerous science and engineering domains. Computing $k$-means to a global optimum is NP-hard in
Externí odkaz:
http://arxiv.org/abs/2407.12208
Autor:
Claxton, Owen, Malone, Connor, Carson, Helen, Ford, Jason, Bolton, Gabe, Shames, Iman, Milford, Michael
Visual Place Recognition (VPR) systems often have imperfect performance, which affects robot navigation decisions. This research introduces a novel Multi-Layer Perceptron (MLP) integrity monitor for VPR which demonstrates improved performance and gen
Externí odkaz:
http://arxiv.org/abs/2407.08162
A central goal of both knowledge tracing and traditional assessment is to quantify student knowledge and skills at a given point in time. Deep knowledge tracing flexibly considers a student's response history but does not quantify epistemic uncertain
Externí odkaz:
http://arxiv.org/abs/2407.17427