Concepedia

Bagging

Bagging is an ensemble method that reduces variance in predictive models by training multiple base learners on bootstrapped subsets of the training data and averaging their predictions, thereby distinguishing itself from other ensemble techniques through its use of bootstrap aggregation to mitigate overfitting.

1.1K

Publications

103.5K

Citations

3.2K

Authors

1.3K

Institutions

Publications per year

2017–2026

559

Parents

Publications

1.1K

Classification and Regression by randomForest

Andy Liaw, Matthew C. Wiener · 2007 · 18.4K citations

, , +16

Experiments with a new boosting algorithm

Yoav Freund, Robert E. Schapire · 1996 · 7.6K citations

, , +14

Popular Ensemble Methods: An Empirical Study

David W. Opitz, Richard Maclin · Journal of Artificial Intelligence Research · 1999 · 3K citations · Full text

, , +15

An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization

Thomas G. Dietterich · Machine Learning · 2000 · 3K citations · Full text

, , +13

An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants

Eric Bauer, Ron Kohavi · Machine Learning · 1999 · 2.6K citations · Full text

, , +13

1–5 of 1.1K

Authors

3.2K

  1. GM
    Gonzalo Martínez-Muñoz

    Universidad Autónoma de Madrid, Spain

    8 publications · 896 citations

    8

    h-index

  2. WA
    Waqas Ahmad

    COMSATS University Islamabad, Pakistan

    7 publications · 643 citations

    7

    h-index

  3. LH
    Lawrence Hall

    University of South Florida, United States

    7 publications · 677 citations

    7

    h-index

  4. MN
    Muhammad Nasir Amin

    King Faisal University, Saudi Arabia

    7 publications · 389 citations

    7

    h-index

  5. KK
    Kaffayatullah Khan

    King Faisal University, Saudi Arabia

    7 publications · 389 citations

    7

    h-index

1–5 of 3.2K

Institutions

1.3K

  1. COMSATS University Islamabad

    Islamabad, Pakistan

    17 h-index

    26 publications

    2.6K citations

  2. Hong Kong Polytechnic University

    Hong Kong, Hong Kong

    13 h-index

    27 publications

    896 citations

  3. Prince Sattam Bin Abdulaziz University

    Al Kharj, Saudi Arabia

    11 h-index

    13 publications

    1.4K citations

  4. Shenzhen University

    Shenzhen, China

    10 h-index

    11 publications

    499 citations

  5. Zhejiang University

    Hangzhou, China

    9 h-index

    28 publications

    2.1K citations

  6. The University of Sydney

    Sydney, Australia

    9 h-index

    15 publications

    2.8K citations

  7. King Faisal University

    Hofuf, Saudi Arabia

    9 h-index

    25 publications

    1.3K citations

  8. Northeastern University

    Shenyang, China

    8 h-index

    32 publications

    886 citations

1–8 of 1.3K

Venues

  1. IEEE Access

    19 publications · 1.3K citations

    17

    h-index

  2. Scientific Reports

    15 publications · 485 citations

    14

    h-index

  3. Procedia Computer Science

    14 publications · 1.2K citations

    13

    h-index

  4. arXiv (Cornell University)

    Repository · 12 publications · 641 citations

    11

    h-index

  5. Expert Systems with Applications

    8 publications · 356 citations

    8

    h-index

1–5