Query Strategy

Query Strategy is a methodological approach within active learning that specifies the criterion or algorithm by which an instance is selected for labeling to maximize the reduction in uncertainty or improvement in model performance.

223

Publications

9.8K

Citations

653

Authors

286

Institutions

Publications per year

2017–2026

72

Authors

653

  1. PZ
    Peilin Zhao

    Tencent (China), China

    4 publications · 98 citations

    4

    h-index

  2. RM
    Rajeev Motwani

    Stanford University, United States

    3 publications · 152 citations

    3

    h-index

  3. PV
    Patrick Valduriez

    Institut national de recherche en sciences et technologies du numérique, France

    3 publications · 152 citations

    3

    h-index

  4. LG
    Leonidas Guibas

    Stanford University, United States

    3 publications · 152 citations

    3

    h-index

  5. XD
    Xinghao Ding

    Xiamen University, China

    3 publications · 134 citations

    3

    h-index

1–5 of 653

Venues

  1. arXiv (Cornell University)

    Repository · 10 publications · 260 citations

    10

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 9 publications · 672 citations

    9

    h-index

  3. ACM SIGMOD Record

    7 publications · 1.1K citations

    7

    h-index

  4. 6

    h-index

  5. IEEE Transactions on Information Theory

    3 publications · 90 citations

    3

    h-index

1–5