String Kernels

String Kernels is a class of kernel functions in machine learning that operate on string data by measuring similarity through shared subsequences or patterns, distinguishing them from other kernel methods by their specific design for discrete sequence inputs.

111

Publications

10.8K

Citations

245

Authors

114

Institutions

Publications per year

2017–2026

12

Authors

245

  1. CS
    Christina S. Leslie

    Memorial Sloan Kettering Cancer Center, United States

    8 publications · 2.5K citations

    8

    h-index

  2. MP
    Marius Popescu

    University of Bucharest, Romania

    7 publications · 268 citations

    7

    h-index

  3. RT
    Radu Tudor Ionescu

    University of Bucharest, Romania

    6 publications · 209 citations

    6

    h-index

  4. WS
    William Stafford Noble

    University of Washington, United States

    5 publications · 2K citations

    5

    h-index

  5. JW
    Jason Weston

    Meta (Israel), Israel

    5 publications · 1.1K citations

    5

    h-index

1–5 of 245

Venues

  1. BMC Bioinformatics

    5 publications · 222 citations

    5

    h-index

  2. Bioinformatics

    5 publications · 3K citations

    5

    h-index

  3. IEEE Transactions on Image Processing

    2 publications · 141 citations

    2

    h-index

  4. Neural Information Processing Systems

    Conference · 2 publications · 78 citations

    2

    h-index

  5. International Conference on Computational Linguistics

    Conference · 2 publications · 52 citations

    2

    h-index

1–5