Polynomial Expansion

Polynomial Expansion is a mathematical transformation method that generates new features by computing all possible combinations of polynomial terms up to a specified degree from an original set of variables, thereby enriching the feature space for modeling nonlinear relationships in machine learning and regression analysis.

949

Publications

46.3K

Citations

2.2K

Authors

933

Institutions

Publications per year

2017–2026

140

Authors

2.2K

  1. MD
    Mérouane Debbah

    Supélec, France

    9 publications · 593 citations

    9

    h-index

  2. EB
    Emil Björnson

    Linköping University, Sweden

    7 publications · 557 citations

    7

    h-index

  3. DJ
    Donald J. Kouri

    University of Houston, United States

    6 publications · 307 citations

    6

    h-index

  4. AK
    Abla Kammoun

    King Abdullah University of Science and Technology, Saudi Arabia

    6 publications · 378 citations

    6

    h-index

  5. BT
    Bo Tian

    Beijing University of Posts and Telecommunications, China

    6 publications · 201 citations

    6

    h-index

1–5 of 2.2K

Venues

  1. The Journal of Chemical Physics

    39 publications · 4.7K citations

    27

    h-index

  2. arXiv (Cornell University)

    Repository · 12 publications · 278 citations

    11

    h-index

  3. Mathematics of Computation

    MCOM · 10 publications · 426 citations

    10

    h-index

  4. Nuclear Science and Engineering

    9 publications · 291 citations

    9

    h-index

  5. 9

    h-index

1–5