Kernel Alignment

Kernel Alignment is a metric that quantifies the similarity between two kernel functions or between a kernel matrix and the ideal classifier alignment in the context of supervised learning.

76

Publications

4.9K

Citations

242

Authors

121

Institutions

Publications per year

2017–2026

42

Authors

242

  1. XL
    Xinwang Liu

    National University of Defense Technology, China

    9 publications · 674 citations

    9

    h-index

  2. JT
    Jijun Tang

    University of South Carolina, United States

    4 publications · 372 citations

    4

    h-index

  3. YD
    Yijie Ding

    University of Electronic Science and Technology of China, China

    4 publications · 372 citations

    4

    h-index

  4. LW
    Lei Wang

    University of Wollongong, Australia

    4 publications · 486 citations

    4

    h-index

  5. YD
    Yong Dou

    National University of Defense Technology, China

    4 publications · 209 citations

    4

    h-index

1–5 of 242

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 640 citations

    5

    h-index

  2. 3

    h-index

  3. Pattern Recognition

    3 publications · 185 citations

    3

    h-index

  4. 3

    h-index

  5. 3

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1–5