Concepedia

Semi-supervised Kernel Learning

Semi-Supervised Kernel Learning is a kernel learning framework that belongs to the class of kernel methods and is distinguished by its integration of both labeled and unlabeled data to learn a kernel function that captures the underlying data structure while respecting supervised task objectives.

194

Publications

13.2K

Citations

573

Authors

248

Institutions

Publications per year

2017–2026

57

Parents

Publications

194

Scaling learning algorithms towards AI

Yoshua Bengio, Yann LeCun · 2007 · 930 citations

, , +13

Semi-supervised learning with graphs

Xiaojin Zhu, John Lafferty, Roni Rosenfeld · 2005 · 649 citations

, , +16

Semi-Supervised Graph-Based Hyperspectral Image Classification

Gustau Camps‐Valls, Tatyana V. Bandos, Dengyong Zhou · IEEE Transactions on Geoscience and Remote Sensing · 2007 · 626 citations

, , +16

Cluster Kernels for Semi-Supervised Learning

Olivier Chapelle, Jason Weston, Bernhard Schölkopf · 2002 · 461 citations

, , +7

Beyond the point cloud

Vikas Sindhwani, Partha Niyogi, Mikhail Belkin · 2005 · 443 citations

, , +11

1–5 of 194

Authors

573

  1. GC
    Gustau Camps‐Valls

    Universitat de València, Spain

    7 publications · 908 citations

    7

    h-index

  2. XH
    Xian‐Sheng Hua

    Microsoft Research Asia (China), China

    5 publications · 230 citations

    5

    h-index

  3. VS
    Vikas Sindhwani

    Google (United States), United States

    5 publications · 860 citations

    5

    h-index

  4. IS
    Inderjit S. Dhillon

    The University of Texas at Austin, United States

    5 publications · 592 citations

    5

    h-index

  5. MW
    Meng Wang

    Hefei University of Technology, China

    4 publications · 187 citations

    4

    h-index

1–5 of 573

Institutions

248

  1. Chinese Academy of Sciences

    Beijing, China

    8 h-index

    26 publications

    821 citations

  2. Universitat de València

    Valencia, Spain

    6 h-index

    14 publications

    1.8K citations

  3. The University of Texas at Austin

    Austin, United States

    6 h-index

    10 publications

    1.3K citations

  4. University of Science and Technology of China

    Hefei, China

    5 h-index

    17 publications

    742 citations

  5. Rutgers, The State University of New Jersey

    New Brunswick, United States

    5 h-index

    7 publications

    309 citations

  6. Microsoft (United States)

    Redmond, United States

    5 h-index

    9 publications

    1.1K citations

  7. Nanyang Technological University

    Singapore, Singapore

    5 h-index

    7 publications

    331 citations

  8. Stanford University

    Stanford, United States

    4 h-index

    7 publications

    581 citations

1–8 of 248

Venues

  1. 6

    h-index

  2. Neurocomputing

    5 publications · 131 citations

    5

    h-index

  3. arXiv (Cornell University)

    Repository · 4 publications · 84 citations

    4

    h-index

  4. Pattern Recognition

    4 publications · 212 citations

    4

    h-index

  5. Information Sciences

    3 publications · 120 citations

    3

    h-index

1–5