Training Population Sampling
Training Population Sampling is a methodological construct in machine learning that specifies the systematic selection of instances from a target domain to form a representative training population, distinguishing itself from related sampling techniques by its focus on optimizing model generalization through strategic instance inclusion.
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2017–2026
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Optimal Design of Preliminary Yield Trials with Genome‐Wide Markers
Jeffrey B. Endelman, G. N. Atlin, Yoseph Beyene et al. · Crop Science · 2013 · 149 citations · Full text
Agriculture, Crop Sciences, Genetics +11
Stress fractures in the lower extremities of soldiers in basic training.
S Pester, Paul Smith · PubMed · 1992 · 104 citations
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Grand Valley State University
Allendale, United States
1 h-index
1 publications
14 citations

Guru Gobind Singh Indraprastha University
Delhi, India
1 h-index
3 publications
33 citations

Boston Children's Hospital
Boston, United States
1 h-index
1 publications
23 citations
Korea University
Seoul, South Korea
1 h-index
1 publications
12 citations
Johannes Gutenberg University Mainz
Mainz, Germany
1 h-index
3 publications
42 citations

University of Manchester
Manchester, United Kingdom
1 h-index
2 publications
54 citations

Czech University of Life Sciences Prague
Prague, Czechia
1 h-index
1 publications
37 citations
Centro Internacional de Mejoramiento de Maíz Y Trigo
Texcoco, Mexico
1 h-index
1 publications
149 citations
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2 publications · 22 citations
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1 publications · 37 citations
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1 publications · 57 citations
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1 publications · 149 citations
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1 publications · 69 citations
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