Zobrazeno 1 - 10
of 178
pro vyhledávání: '"Charles A. Harrison"'
Autor:
Devendra M. Amatya, Timothy J. Callahan, Sourav Mukherjee, Charles A. Harrison, Carl C. Trettin, Andrzej Wałęga, Dariusz Młyński, Kristen D. Emmett
Publikováno v:
Hydrology, Vol 11, Iss 3, p 31 (2024)
Hydrology and meteorological data from relatively undisturbed watersheds aid in identifying effects on ecosystem services, tracking hydroclimatic trends, and reducing model uncertainties. Sustainable forest, water, and infrastructure management depen
Externí odkaz:
https://doaj.org/article/26c1acf90d4d4bf996edc98e6bcb2391
Publikováno v:
Quality Technology & Quantitative Management. 20:147-167
Autor:
Paul M. Camic, Sebastian J. Crutch, Charlie Murphy, Nicholas C. Firth, Emma Harding, Charles R. Harrison, Susannah Howard, Sarah Strohmaier, Janneke Van Leewen, Julian West, Gill Windle, Selina Wray, Hannah Zeilig
Publikováno v:
Frontiers in Psychology, Vol 9 (2018)
Creativity research has a substantial history in psychology and related disciplines; one component of this research tradition has specifically examined artistic creativity. Creativity theories have tended to concentrate, however, on creativity as an
Externí odkaz:
https://doaj.org/article/1e3357e2e8234c06b84fa66ed4fc10a2
Publikováno v:
Genes; Volume 13; Issue 11; Pages: 2036
A prior for Bayesian nonparametric clustering called the Table Invitation Prior (TIP) is used to cluster gene expression data. TIP uses information concerning the pairwise distances between subjects (e.g., gene expression samples) and automatically e
Publikováno v:
American Intelligence Journal, 2015 Jan 01. 32(1), 215-215.
Externí odkaz:
https://www.jstor.org/stable/26202121
Autor:
Diane De Steven, Charles A. Harrison
Publikováno v:
Wetlands. 42
Publikováno v:
Hydrological Processes. 36
Publikováno v:
SSRN Electronic Journal.
Anomaly detection plays an important role in traffic operations and control. Missingness in spatial-temporal datasets prohibits anomaly detection algorithms from learning characteristic rules and patterns due to the lack of large amounts of data. Thi
Autor:
Paul M. Camic, Sam Rossi-Harries, Emma Harding, Charles R. Harrison, Mary Pat Sullivan, Adetola Grillo, Emilie V. Brotherhood, Sebastian J. Crutch
Publikováno v:
International Journal of Qualitative Methods. 22:160940692311761
People affected by rarer forms of dementia often have a long and difficult experience obtaining a diagnosis and appropriate support, impacting family, employment and social relationships, quality of life and wellbeing. For this population progressive
A Comparative Study of $$\text {L}_1$$ and $$\text {L}_2$$ Norms in Support Vector Data Descriptions
Publikováno v:
Springer Series in Reliability Engineering ISBN: 9783030838188
The Support Vector Data Description (\(\text {L}_1\) SVDD) is a non-parametric one-class classification algorithm that utilizes the \(\text {L}_1\) norm in its objective function. An alternative formulation of SVDD, called \(\text {L}_2\) SVDD, uses
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b983433e2f7d1a9ceb8b7b5419ddfff
https://doi.org/10.1007/978-3-030-83819-5_9
https://doi.org/10.1007/978-3-030-83819-5_9