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pro vyhledávání: '"Gray, Nicholas"'
Autor:
Gray, Nicholas
The appreciation and utilisation of risk and uncertainty can play a key role in helping to solve some of the many ethical issues that are posed by AI. Understanding the uncertainties can allow algorithms to make better decisions by providing interrog
Externí odkaz:
http://arxiv.org/abs/2408.06736
Autor:
Gray, Nicholas
Publikováno v:
Analytical Approaches to World Music, Vol 2, Iss 2, Pp 100-147 (2013)
This paper discusses aspects of composing for a specific type of Balinese gamelan ensemble known as gendér wayang, a quartet of metallophones that accompanies shadow puppet plays and life-cycle rituals. The author is a composer and ethnomusicologist
Externí odkaz:
https://doaj.org/article/c95296fb17794e50af8e3d2f50056a89
Autor:
Gray, Nicholas, Moraes, Megan, Bian, Jiang, Wang, Alex, Tian, Allen, Wilson, Kurt, Huang, Yan, Xiong, Haoyi, Guo, Zhishan
Real-time machine learning object detection algorithms are often found within autonomous vehicle technology and depend on quality datasets. It is essential that these algorithms work correctly in everyday conditions as well as under strong sun glare.
Externí odkaz:
http://arxiv.org/abs/2209.08716
An uncertainty compiler is a tool that automatically translates original computer source code lacking explicit uncertainty analysis into code containing appropriate uncertainty representations and uncertainty propagation algorithms. We have developed
Externí odkaz:
http://arxiv.org/abs/2110.10153
Confidence intervals are an established means of portraying uncertainty about an inferred parameter and can be generated through the use of confidence distributions. For a confidence distribution to be ideal, it must maintain frequentist coverage of
Externí odkaz:
http://arxiv.org/abs/2106.04433
Autor:
Gray, Nicholas, Ferson, Scott
Logistic regression is an important statistical tool for assessing the probability of an outcome based upon some predictive variables. Standard methods can only deal with precisely known data, however many datasets have uncertainties which traditiona
Externí odkaz:
http://arxiv.org/abs/2106.00492
Autor:
Duncanson, Emily, Davies, Christopher E., Muthuramalingam, Shyamsundar, Johns, Effie, McColm, Kate, Hempstalk, Matty, Tasevski, Zoran, Gray, Nicholas A., McDonald, Stephen P.
Publikováno v:
In Kidney International Reports April 2024 9(4):843-852
Autor:
Lazarus, Benjamin, Polkinghorne, Kevan R., Gallagher, Martin, Coggan, Sarah, Gray, Nicholas A., Talaulikar, Girish, Kotwal, Sradha
Publikováno v:
In American Journal of Kidney Diseases April 2024 83(4):445-455