Concepedia

Ensemble Preparation

Ensemble Preparation is an academic method that systematically integrates multiple individual models or predictive components into a unified framework through coordinated training, selection, and combination strategies to enhance overall performance, robustness, and generalization in contrast to standalone model development approaches.

3

Publications

720

Citations

5

Authors

2

Institutions

Publications per year

2017–2026

0

Parents

Publications

3

1–4 of 3

Authors

5

  1. KT
    Kagan Tumer

    Ames Research Center, United States

    1 publications · 602 citations

    1

    h-index

  2. MS
    M. S. Leifer

    Perimeter Institute, Canada

    1 publications · 90 citations

    1

    h-index

  3. RW
    Robert W. Spekkens

    Perimeter Institute, Canada

    1 publications · 28 citations

    1

    h-index

  4. JG
    Joydeep Ghosh

    The University of Texas at Austin, United States

    1 publications · 602 citations

    1

    h-index

  5. ML
    Matthew Leifer

    Perimeter Institute, Canada

    1 publications · 28 citations

    1

    h-index

1–5 of 5

Institutions

2

  1. Perimeter Institute

    Waterloo, Canada

    2 h-index

    2 publications

    118 citations

  2. The University of Texas at Austin

    Austin, United States

    1 h-index

    2 publications

    1.2K citations

  3. University of Science and Technology Beijing

    Beijing, China

    1 publications

    11 citations

  4. Arab Open University

    Muscat, Oman

    1 publications

    11 citations

  5. Abbottabad University of Science and Technology

    Havelian, Pakistan

    1 publications

    11 citations

  6. COMSATS University Islamabad

    Islamabad, Pakistan

    1 publications

    11 citations

1–6 of 2

Venues

  1. Connection Science

    1 publications · 602 citations

    1

    h-index

  2. Physical Review A

    PRA · 1 publications · 90 citations

    1

    h-index

  3. Digital Communications and Networks

    DCN · 1 publications · 11 citations

1–3