Core Training Set Construction
Core Training Set Construction is a methodological process in machine learning that involves the systematic selection and organization of a foundational subset of data intended to optimally represent the underlying population distribution for training predictive models.
38
Publications
1.6K
Citations
178
Authors
107
Institutions
Publications per year
2017–2026
16
Parents
38
Genomic Predictability of Interconnected Biparental Maize Populations
Christian Riedelsheimer, Jeffrey B. Endelman, Michael Stange et al. · Genetics · 2013 · 217 citations · Full text
Ingrid W.T. Selderslaghs, Ronny Blust, Hilda Witters · Reproductive Toxicology · 2011 · 199 citations
1–5 of 38
178
1
h-index
1
h-index
1
h-index
1
h-index
Korea Institute of Science & Technology Information, South Korea
1 publications · 16 citations
1
h-index
1–5 of 178
107
University of Bergen
Bergen, Norway
2 h-index
4 publications
103 citations

International Rice Research Institute
Los Baños, Philippines
2 h-index
3 publications
56 citations
Chinese Academy of Agricultural Sciences
Beijing, China
2 h-index
6 publications
82 citations

Centre National de la Recherche Scientifique
Paris, France
1 h-index
3 publications
48 citations

University of Göttingen
Göttingen, Germany
1 h-index
3 publications
48 citations
Carnegie Mellon University
Pittsburgh, United States
1 h-index
1 publications
22 citations
Norwegian University of Science and Technology
Trondheim, Norway
1 h-index
2 publications
22 citations

Oeschger Centre for Climate Change Research
Bern, Switzerland
1 h-index
2 publications
74 citations
1–8 of 107
2 publications · 45 citations
2
h-index
2 publications · 50 citations
2
h-index
1 publications · 37 citations
1
h-index
1 publications · 46 citations
1
h-index
1 publications · 22 citations
1
h-index
1–5