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

Authors

178

  1. YX
    Yanghong Xu

    Wuhan University, China

    1 publications · 24 citations

    1

    h-index

  2. RS
    R. S. Rana

    Hemwati Nandan Bahuguna Garhwal University, India

    1 publications · 27 citations

    1

    h-index

  3. RC
    R. C. Agrawal

    ICAR-National Bureau Of Plant Genetic Resources, India

    1 publications · 27 citations

    1

    h-index

  4. YC
    Yanlai Chen

    University of Massachusetts Dartmouth, United States

    1 publications · 12 citations

    1

    h-index

  5. WS
    Won-Kyung Sung

    Korea Institute of Science & Technology Information, South Korea

    1 publications · 16 citations

    1

    h-index

1–5 of 178

Venues

  1. The Holocene

    2 publications · 45 citations

    2

    h-index

  2. Genetic Resources and Crop Evolution

    2 publications · 50 citations

    2

    h-index

  3. Journal of Paleolimnology

    1 publications · 37 citations

    1

    h-index

  4. Cancer Prevention Research

    1 publications · 46 citations

    1

    h-index

  5. Pattern Recognition

    1 publications · 22 citations

    1

    h-index

1–5