Concepedia

Kernel Ridge Regression

Kernel Ridge Regression is a regularized kernel-based regression method that extends linear ridge regression by mapping input data into a higher-dimensional feature space via a kernel function, thereby enabling nonlinear prediction while minimizing a regularized empirical risk functional.

375

Publications

22.7K

Citations

1.1K

Authors

506

Institutions

Publications per year

2017–2026

254

Parents

Publications

375

Single-Image Super-Resolution Using Sparse Regression and Natural Image Prior

Kwang In Kim, Younghee Kwon · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2010 · 982 citations

, , +16

Kernel partial least squares regression in reproducing kernel hilbert space

Roman Rosipal, Leonard J. Trejo · 2002 · 884 citations

, , +17

Comparing molecules and solids across structural and alchemical space

Sandip De, Albert P. Bartók, Gábor Cśanyi et al. · Physical Chemistry Chemical Physics · 2016 · 808 citations · Full text

, , +17

Domain Adaptation: Learning Bounds and Algorithms

Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh · arXiv (Cornell University) · 2009 · 462 citations · Full text

, , +13

Comparison of machine learning methods for photovoltaic power forecasting based on numerical weather prediction

Dávid Markovics, Martin János Mayer · Renewable and Sustainable Energy Reviews · 2022 · 424 citations · Full text

, , +15

1–5 of 375

Authors

1.1K

  1. MM
    Mehryar Mohri

    Google (United States), United States

    8 publications · 1.3K citations

    8

    h-index

  2. PO
    Pavlo O. Dral

    Xiamen University, China

    7 publications · 526 citations

    7

    h-index

  3. GC
    Gustau Camps‐Valls

    Universitat de València, Spain

    7 publications · 644 citations

    7

    h-index

  4. AR
    Afshin Rostamizadeh

    Google (United States), United States

    7 publications · 1.2K citations

    7

    h-index

  5. JV
    Jochem Verrelst

    Parc Científic de la Universitat de València, Spain

    7 publications · 544 citations

    7

    h-index

1–5 of 1.1K

Institutions

506

  1. Massachusetts Institute of Technology

    Cambridge, United States

    14 h-index

    37 publications

    2.4K citations

  2. University of California, Berkeley

    Berkeley, United States

    10 h-index

    20 publications

    2K citations

  3. Stanford University

    Stanford, United States

    9 h-index

    15 publications

    744 citations

  4. University College London

    London, United Kingdom

    8 h-index

    17 publications

    1.3K citations

  5. École Polytechnique Fédérale de Lausanne

    Lausanne, Switzerland

    8 h-index

    35 publications

    2.9K citations

  6. Tsinghua University

    Beijing, China

    8 h-index

    24 publications

    1.4K citations

  7. University of Cambridge

    Cambridge, United Kingdom

    7 h-index

    8 publications

    1.9K citations

  8. Carnegie Mellon University

    Pittsburgh, United States

    7 h-index

    12 publications

    408 citations

1–8 of 506

Venues

  1. arXiv (Cornell University)

    Repository · 42 publications · 2.7K citations

    23

    h-index

  2. The Journal of Chemical Physics

    12 publications · 661 citations

    12

    h-index

  3. IEEE Access

    7 publications · 390 citations

    7

    h-index

  4. Machine Learning Science and Technology

    6 publications · 194 citations

    6

    h-index

  5. The Journal of Physical Chemistry A

    5 publications · 270 citations

    5

    h-index

1–5