Concepedia

Multi-task Kernel Learning

Multi-Task Kernel Learning is a machine learning framework that extends kernel methods by jointly learning multiple related tasks through a shared kernel representation, thereby leveraging inter-task dependencies to improve generalization performance.

60

Publications

3.9K

Citations

155

Authors

89

Institutions

Publications per year

2017–2026

20

Parents

Publications

60

Learning Multiple Tasks with Kernel Methods

Theodoros Evgeniou, Charles A. Micchelli, Massimiliano Pontil · 2005 · 838 citations

, , +12

Visual classification with multi-task joint sparse representation

Xiao–Tong Yuan, Shuicheng Yan · 2010 · 304 citations

, , +16

Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health

Natasha Jaques, Ehimwenma Nosakhare, Akane Sano et al. · IEEE Transactions on Affective Computing · 2017 · 266 citations · Full text

, , +16

Regularization techniques for learning with matrices

Sham M. Kakade, Shai Shalev‐Shwartz, Ambuj Tewari · 2016 · 171 citations

, , +14

Spike and Slab Variational Inference for Multi-Task and Multiple Kernel Learning

Miguel Lázaro-Gredilla, Michalis K. Titsias · Neural Information Processing Systems · 2011 · 164 citations

, , +16

1–5 of 60

Authors

155

  1. FD
    Francesco Dinuzzo

    University of Pavia, Italy

    4 publications · 177 citations

    4

    h-index

  2. PJ
    Pratik Jawanpuria

    Microsoft (United States), United States

    3 publications · 48 citations

    3

    h-index

  3. MH
    Mohammad H. Mahoor

    University of Denver, United States

    3 publications · 86 citations

    3

    h-index

  4. MG
    Mehmet Gönen

    Koç University, Türkiye

    3 publications · 150 citations

    3

    h-index

  5. JF
    Jean-Baptiste Fiot

    Australian e-Health Research Centre, Australia

    2 publications · 120 citations

    2

    h-index

1–5 of 155

Institutions

89

  1. Cornell University

    Ithaca, United States

    3 h-index

    10 publications

    267 citations

  2. University of Denver

    Denver, United States

    3 h-index

    7 publications

    200 citations

  3. Sage Bionetworks

    Seattle, United States

    2 h-index

    4 publications

    278 citations

  4. Tsinghua University

    Beijing, China

    2 h-index

    2 publications

    51 citations

  5. University College London

    London, United Kingdom

    2 h-index

    8 publications

    176 citations

  6. Chinese Academy of Sciences

    Beijing, China

    2 h-index

    5 publications

    199 citations

  7. University of Tübingen

    Tübingen, Germany

    2 h-index

    3 publications

    123 citations

  8. Dalian University of Technology

    Dalian, China

    2 h-index

    5 publications

    105 citations

1–8 of 89

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 95 citations

    4

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 4 publications · 194 citations

    4

    h-index

  3. Bioinformatics

    3 publications · 245 citations

    3

    h-index

  4. Journal of Machine Learning Research

    JMLR · 3 publications · 166 citations

    3

    h-index

  5. Neurocomputing

    3 publications · 120 citations

    3

    h-index

1–5