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pro vyhledávání: '"Randall Reese"'
Publikováno v:
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-15 (2020)
Abstract Background Feature screening plays a critical role in handling ultrahigh dimensional data analyses when the number of features exponentially exceeds the number of observations. It is increasingly common in biomedical research to have case-co
Externí odkaz:
https://doaj.org/article/3f4894cf82bf4ad0b1c9db1599b52ebc
Publikováno v:
Stat. 11
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::688982fa08e0f264babd04cbbf362a4a
https://doi.org/10.1002/sta4.476
https://doi.org/10.1002/sta4.476
Selecting influential nonlinear interactive features from ultrahigh dimensional data has been an important task in various fields. However, statistical accuracy and computational feasibility are the two biggest concerns when more than half a million
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b88c87875d84d881779c07ba32538ddb
http://arxiv.org/abs/2111.06795
http://arxiv.org/abs/2111.06795
Publikováno v:
American Surgeon. May2024, Vol. 90 Issue 5, p1103-1104. 2p.
Akademický článek
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Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-15 (2020)
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-15 (2020)
Background Feature screening plays a critical role in handling ultrahigh dimensional data analyses when the number of features exponentially exceeds the number of observations. It is increasingly common in biomedical research to have case-control (bi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::930e8bf966e27a3faa05f519782476e0
https://doi.org/10.1186/s12859-020-3492-z
https://doi.org/10.1186/s12859-020-3492-z
Autor:
Aziz Bouzaher, Jason F. Shogren, Derald Holtkamp, Philip W. Gassman, David Archer, P. G. Lakshminarayan, Alicia L. Carriquiry, Randall Reese, Dharmaraju Kakani, William H. Furtan, R. César Izaurralde, James Kiniry
This report summarizes the major findings of a study in which an integrated agro-ecological economic modeling system was constructed around Agriculture Canada's Canadian Regional Agriculture Model (CRAM) to analyze the economic and environmental impa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______645::e79c46e680f8bcd61fd564f3b0c9e4df
https://www.card.iastate.edu/products/publications/pdf/96sr83.pdf
https://www.card.iastate.edu/products/publications/pdf/96sr83.pdf
Autor:
Aziz Bouzaher, Jason F. Shogren, Derald Holtkamp, Philip W. Gassman, David Archer, P. G. Lakshminarayan, Alicia L. Carriquiry, Randall Reese, Dharmaraju Kakani, William H. Furtan, R. César Izaurralde, James Kiniry
Described in this report is the application of an integrated agro-ecological modeling system that has been constructed around Agriculture Canada's Canadian Regional Agriculture Model (CRAM) to analyze the economic and environmental impacts of propose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______645::977d637d0e9f0469f95bdd9100717e4c
https://www.card.iastate.edu/products/publications/synopsis/?p=160
https://www.card.iastate.edu/products/publications/synopsis/?p=160