Confidence Vote Thresholds

Confidence Vote Thresholds is a decision rule in ensemble learning that specifies the minimum proportion of model predictions required to assign a confident classification to an instance, distinguishing it from other voting mechanisms by incorporating a confidence level above majority consensus.

4

Publications

172

Citations

11

Authors

5

Institutions

Publications per year

2017–2026

2

Authors

11

  1. OL
    Or Litany

    Stanford University, United States

    2 publications · 138 citations

    2

    h-index

  2. HW
    He Wang

    Peking University, China

    2 publications · 138 citations

    2

    h-index

  3. YC
    Yezhen Cong

    Stanford University, United States

    2 publications · 138 citations

    2

    h-index

  4. LG
    Leonidas Guibas

    Stanford University, United States

    2 publications · 138 citations

    2

    h-index

  5. JC
    Joan Claudi Socoró

    Universitat Ramon Llull, Spain

    1 publications · 21 citations

    1

    h-index

1–5 of 11

Venues

  1. Fuzzy Sets and Systems

    1 publications · 21 citations

    1

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  2. Pattern Analysis and Applications

    1 publications · 13 citations

    1

    h-index

  3. arXiv (Cornell University)

    Repository · 1 publications · 10 citations

    1

    h-index

1–3