901 to 910 of 1,197 Results
Tabular Data - 26.8 KB - 5 Variables, 600 Observations - UNF:6:O/KAgQXxpSfh2B3GBF7PIA==
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Adobe PDF - 121.3 KB -
MD5: 8f2aa2c65dacdb1936f7dc8b8634678a
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Jun 13, 2018 - CIMMYT Research Data
Montesinos-López, Abelardo; Montesinos-López, Osval A.; Gianola, Daniel; Crossa, Jose, 2018, "Deep learning genomic-enabled prediction of plant traits", https://hdl.handle.net/11529/10548082, CIMMYT Research Data & Software Repository Network, V1
Machine learning (ML) is a field of computer science that uses statistical techniques to give computer systems the ability to "learn" (i.e., progressively improve performance on a specific task) from data, without being explicitly programmed to do this. ML is closely related to (... |
Jun 13, 2018 -
Deep learning genomic-enabled prediction of plant traits
RAR Archive - 53.5 MB -
MD5: 501f5155e0ace71d010f4132fb3baa18
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Jun 7, 2018 - CIMMYT Research Data
Sapkota, Tek B.; Aryal, Jeetendra P.; Khatri-Chhetri, Arun; Shirsath, Paresh B; Arumugam, Ponraj; Stirling, Clare M., 2018, "Identifying high-yield low-emission pathways for the cereal production in South Asia", https://hdl.handle.net/11529/10548077, CIMMYT Research Data & Software Repository Network, V2, UNF:6:5kNA+QcDnMGOgK0NnR9nyQ== [fileUNF]
Household survey was conducted by International Maize and Wheat Improvement Centre (CIMMYT) as part of CGIAR research program on Climate Change Agriculture and Food Security (CCAFS) in Karnal district of Haryana state and Vaishali district of Bihar state in India. The overall aim... |
Tabular Data - 1023.6 KB - 18 Variables, 4564 Observations - UNF:6:vqEUOBmqgrGaUwTz1Kgmzg==
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Tabular Data - 1.2 KB - 6 Variables, 18 Observations - UNF:6:nh8p1xbhhJL6LtJUeiDrbg==
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MS Excel Spreadsheet - 813.1 KB -
MD5: 01be08cd9942da2c752fba0c641df1cb
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MS Excel Spreadsheet - 339.6 KB -
MD5: 11f627e20c3965906cf03b8648efa8b4
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MS Excel Spreadsheet - 209.4 KB -
MD5: af64c812ad375128239354dac16c0509
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