Zobrazeno 1 - 10
of 219
pro vyhledávání: '"Emmanuel Johnson"'
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Machine Learning: Science and Technology, Vol 4, Iss 3, p 035004 (2023)
Causal discovery from observational data offers unique opportunities in many scientific disciplines: reconstructing causal drivers, testing causal hypotheses, and comparing and evaluating models for optimizing targeted interventions. Recent causal di
Externí odkaz:
https://doaj.org/article/b77f5758386b45ecbe44969acf841b8e
Autor:
Emmanuel Johnson
Publikováno v:
HIV & AIDS Review. International Journal of HIV-Related Problems, Vol 18, Iss 3, Pp 153-157 (2019)
Externí odkaz:
https://doaj.org/article/260faa655cbf49a9b9d3ce8f379aaf4e
Publikováno v:
Journal of the Historical Society of Nigeria, 2018 Jan 01. 27, 24-47.
Externí odkaz:
https://www.jstor.org/stable/48561674
Publikováno v:
PLoS ONE, Vol 16, Iss 2, p e0246775 (2021)
[This corrects the article DOI: 10.1371/journal.pone.0235885.].
Externí odkaz:
https://doaj.org/article/5c4efc52f7a341d6bbb1b3296b92711c
Publikováno v:
PLoS ONE, Vol 15, Iss 10, p e0235885 (2020)
Kernel methods are powerful machine learning techniques which use generic non-linear functions to solve complex tasks. They have a solid mathematical foundation and exhibit excellent performance in practice. However, kernel machines are still conside
Externí odkaz:
https://doaj.org/article/ce6147816a024ed18359858825775c21
Autor:
Michael Guerzhoy, Marion Neumann, Emmanuel Johnson, David Johnson, Henry Chai, Daniel Garijo, Zhuoyue Lyu, Christopher J. MacLellan
Publikováno v:
AI Matters. 8:16-21
The 12th Symposium on Educational Advances in Artificial Intelligence (EAAI-22, cochaired by Michael Guerzhoy and Marion Neumann) continued the AAAI/ACM SIGAI New and Future AI Educator Program to support the training of early-career university facul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7608b5e90729a182599404587d6c0743
https://doi.org/10.1145/3557785.3557789
https://doi.org/10.1145/3557785.3557789
Autor:
Clara Burgard, Nicolas C Jourdain, Pierre Mathiot, Robin Smith, Rieke Schäfer, Justine Caillet, Tobias S. Finn, J. Emmanuel Johnson
Melt rates at the base of Antarctic ice shelves are needed to drive projections of the Antarctic ice sheet mass loss. Current basal melt parameterisations struggle to link open ocean properties to ice-shelf basal melt rates for the range of current s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74f0e8b3bdb2d27a8892188691369e61
https://doi.org/10.22541/essoar.168500298.88328432/v1
https://doi.org/10.22541/essoar.168500298.88328432/v1
The retrieval of atmospheric aerosol properties from satellite remote sensing is a complex and under-determined inverse problem. Traditional retrieval algorithms, based on radiative transfer models, must make approximations and assumptions to reach a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31e529efb0e0299701ea183adb1060fd
https://doi.org/10.5194/egusphere-egu23-7465
https://doi.org/10.5194/egusphere-egu23-7465
Publikováno v:
28th International Conference on Intelligent User Interfaces.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29fdea7560703a17c5f40af49c2266af
https://doi.org/10.1145/3581754.3584173
https://doi.org/10.1145/3581754.3584173