Inductive Transduction

Inductive Transduction is a transduction principle that leverages inductive learning to infer general rules from labeled instances and applies them to unlabeled data within the same domain, distinguishing itself from direct transduction by incorporating a generalized model derived from the training process.

16

Publications

1.3K

Citations

60

Authors

19

Institutions

Publications per year

2017–2026

4

Authors

60

  1. KK
    Krisztián Kvell

    University of Pecs, Hungary

    1 publications · 76 citations

    1

    h-index

  2. JA
    Jean‐François Arrighi

    University Hospital of Geneva, Switzerland

    1 publications · 76 citations

    1

    h-index

  3. RH
    Rudolf H. Zubler

    University Hospital of Geneva, Switzerland

    1 publications · 76 citations

    1

    h-index

  4. HM
    Harry M. Lander

    Cornell University, United States

    1 publications · 345 citations

    1

    h-index

  5. PS
    Patrick Salmon

    University of Geneva, Switzerland

    1 publications · 76 citations

    1

    h-index

1–5 of 60

Venues

  1. 2

    h-index

  2. Developmental Biology

    2 publications · 176 citations

    2

    h-index

  3. Blood

    1 publications · 76 citations

    1

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  4. Structural Health Monitoring

    SHM · 1 publications · 14 citations

    1

    h-index

  5. Genetics

    1 publications · 17 citations

    1

    h-index

1–5