Basis Function Expansion

Basis Function Expansion is a mathematical technique in regression analysis that extends a set of input features by transforming them into a higher-dimensional space through the application of predefined basis functions, such as polynomial terms, to capture nonlinear relationships while maintaining linearity in model parameters.

405

Publications

46.4K

Citations

1K

Authors

449

Institutions

Publications per year

2017–2026

70

Authors

1K

  1. GL
    Geert Leus

    Delft University of Technology, Netherlands

    10 publications · 997 citations

    10

    h-index

  2. GB
    Georgios B. Giannakis

    University of Minnesota, United States

    6 publications · 299 citations

    6

    h-index

  3. IB
    Imad Barhumi

    KU Leuven, Belgium

    4 publications · 177 citations

    4

    h-index

  4. MM
    Marc Moonen

    KU Leuven, Belgium

    4 publications · 177 citations

    4

    h-index

  5. MD
    Martin D. Weinberg

    University of Massachusetts Amherst, United States

    3 publications · 71 citations

    3

    h-index

1–5 of 1K

Venues

  1. The Journal of Chemical Physics

    34 publications · 14.1K citations

    25

    h-index

  2. IEEE Transactions on Signal Processing

    9 publications · 762 citations

    9

    h-index

  3. IEEE Transactions on Antennas and Propagation

    9 publications · 523 citations

    9

    h-index

  4. arXiv (Cornell University)

    Repository · 7 publications · 148 citations

    7

    h-index

  5. Physical Review A

    PRA · 7 publications · 353 citations

    7

    h-index

1–5