Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Damien Fay"'
Publikováno v:
2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS).
Autor:
Damien Fay, Donya Rahmani
Publikováno v:
Journal of Forecasting. 41:43-63
Publikováno v:
Clinical Case Reports, Vol 12, Iss 7, Pp n/a-n/a (2024)
Key Clinical Message We present the case of a 54‐year‐old male with severe Parkinson's disease and chronic, non‐reversible pulmonary artery hypertension who had seizures and a cardiorespiratory arrest during surgery for deep brain stimulation,
Externí odkaz:
https://doaj.org/article/6d4a4f79dccd4610b1ee3731b9f02cfd
In this paper, we present an alternating gradient descent algorithm for estimating parameters of a spherical Gaussian mixture model by the method of moments (AGD-MoM). We formulate the problem as a constrained optimisation problem which simultaneousl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ed3219bce3b204c0e9d0bf14cf0cbee
https://eprints.soton.ac.uk/437158/
https://eprints.soton.ac.uk/437158/
Automation of machine learning model development is increasingly becoming an established research area. While automated model selection and automated data pre-processing have been studied in depth, there is, however, a gap concerning automated model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e49f5e84fb67f91c32061bb41ddf3069
http://arxiv.org/abs/1812.10793
http://arxiv.org/abs/1812.10793
This paper presents a ubiquitous thermal comfort preference learning study in a noisy environment. We introduce Gaussian Process models into this field and show they are ideal, allowing rejection of outliers, deadband samples, and produce excellent e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5d164f598d6ee8f380e1be1b9507897
https://eprints.bournemouth.ac.uk/24915/14/1-s2.0-S1574119216301651-main.pdf
https://eprints.bournemouth.ac.uk/24915/14/1-s2.0-S1574119216301651-main.pdf
Recent data-driven soft sensors often use multiple adaptive mechanisms to cope with non-stationary environments. These mechanisms are usually deployed in a prescribed order which does not change. In this work we use real world data from the process i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58d187f3a5bf16f13d35acc39359c75c
https://hdl.handle.net/10453/159486
https://hdl.handle.net/10453/159486
Publikováno v:
Journal of Complex Networks. 3:52-83
In this paper, we investigate Approximate Bayes Computation as a technique for estimating the parameters of graph generators relative to an observed graph. Specifically, we investigate six spectral graph metrics with a view to evaluating their suitab
“Propagation, which looks at spreading in complex networks, can be seen from many viewpoints; it is undesirable, or desirable, controllable, the mechanisms generating that propagation can be the topic of interest, but in the end all depends on the
Dynamic pricing has been used extensively in specific markets for many years but recent years have seen an interest in the utilization of this approach for the deployment of novel and attractive tariff structures for mobile communication services. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75ff45be6144c2b71fa31e70142a29aa