Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Scaling random forests"'
Autor:
Yaguang Wei, Brent Coull, Petros Koutrakis, Jiabei Yang, Longxiang Li, Antonella Zanobetti, Joel Schwartz
Publikováno v:
Environmental Health, Vol 20, Iss 1, Pp 1-10 (2021)
Abstract Background We previously found additive effects of long- and short-term exposures to fine particulate matter (PM2.5), ozone (O3), and nitrogen dioxide (NO2) on all-cause mortality rate using a generalized propensity score (GPS) adjustment ap
Externí odkaz:
https://doaj.org/article/f1e70af87d304f9cab91d51433ffce8f
Autor:
Jiabei Yang, Joel Schwartz, Brent A. Coull, Yaguang Wei, Longxiang Li, Petros Koutrakis, Antonella Zanobetti
Publikováno v:
Environmental Health, Vol 20, Iss 1, Pp 1-10 (2021)
Environmental Health
Environmental Health
BackgroundWe previously found additive effects of long- and short-term exposures to fine particulate matter (PM2.5), ozone (O3), and nitrogen dioxide (NO2) on all-cause mortality rate using a generalized propensity score (GPS) adjustment approach. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b832220bebf35c494849e52fa4097ae8
https://doaj.org/article/f1e70af87d304f9cab91d51433ffce8f
https://doaj.org/article/f1e70af87d304f9cab91d51433ffce8f
Autor:
Wei, Yaguang1 (AUTHOR) weiyg@g.harvard.edu, Coull, Brent2 (AUTHOR), Koutrakis, Petros1 (AUTHOR), Yang, Jiabei3 (AUTHOR), Li, Longxiang1 (AUTHOR), Zanobetti, Antonella1 (AUTHOR), Schwartz, Joel1,4 (AUTHOR)
Publikováno v:
Environmental Health: A Global Access Science Source. 2/23/2021, Vol. 20 Issue 1, p1-10. 10p.
Publikováno v:
Journal of Information Display; Sep2024, Vol. 25 Issue 3, p271-293, 23p
Publikováno v:
Big Data Research; September 2017, Vol. 9 Issue: 1 p28-46, 19p
Big Data is one of the major challenges of statistical science and has numerous consequences from algorithmic and theoretical viewpoints. Big Data always involve massive data but they also often include online data and data heterogeneity. Recently so
Externí odkaz:
http://arxiv.org/abs/1511.08327
Autor:
Wei Y; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Landmark Center 4th West, 401 Park Drive, Boston, MA, 02215, USA. weiyg@g.harvard.edu., Coull B; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA., Koutrakis P; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Landmark Center 4th West, 401 Park Drive, Boston, MA, 02215, USA., Yang J; Department of Biostatistics, School of Public Health, Brown University, Providence, RI, USA., Li L; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Landmark Center 4th West, 401 Park Drive, Boston, MA, 02215, USA., Zanobetti A; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Landmark Center 4th West, 401 Park Drive, Boston, MA, 02215, USA., Schwartz J; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Landmark Center 4th West, 401 Park Drive, Boston, MA, 02215, USA.; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Publikováno v:
Environmental health : a global access science source [Environ Health] 2021 Feb 23; Vol. 20 (1), pp. 19. Date of Electronic Publication: 2021 Feb 23.
Marine mammals command a high level of public attention, reflected in specific legislation for their protection and management in many countries. They also present particular challenges to ecologists and conservation biologists. They are mostly diffi
Autor:
Jonah Gamba
This book focuses on and prioritizes a practical approach, minimizing theoretical concepts to deliver algorithms effectively. With deep learning emerging as a vibrant field of research and development in numerous industrial applications, there is a p
Artificial Intelligence (AI) has been an exciting field of study and research in educational institutions and research labs across the globe. Technology giants and IT organizations invest heavily on AI technologies and tools with the aim of precisely