Temporal Difference Testing

Temporal Difference Testing is a methodological framework within the broader category of difference testing that specifically evaluates changes or discrepancies between temporal states or time-sequenced observations to identify significant temporal effects or dynamics in a system.

24

Publications

3.2K

Citations

59

Authors

39

Institutions

Publications per year

2017–2026

3

Authors

59

  1. DB
    D.F. Beal

    Queen Mary University of London, United Kingdom

    3 publications · 73 citations

    3

    h-index

  2. GT
    Gerald Tesauro

    IBM (United States), United States

    2 publications · 839 citations

    2

    h-index

  3. PD
    Peter Dayan

    University College London, United Kingdom

    2 publications · 1.6K citations

    2

    h-index

  4. MC
    Martin C. Smith

    Queen Mary University of London, United Kingdom

    2 publications · 51 citations

    2

    h-index

  5. LA
    Luke A. Jones

    University of Manchester, United Kingdom

    1 publications · 16 citations

    1

    h-index

1–5 of 59

Venues

  1. Machine Learning

    3 publications · 932 citations

    3

    h-index

  2. Nature Neuroscience

    2 publications · 196 citations

    2

    h-index

  3. American Journal of Enology and Viticulture

    AJEV · 1 publications · 30 citations

    1

    h-index

  4. Theoretical Computer Science

    1 publications · 15 citations

    1

    h-index

  5. Neuron

    1 publications · 1.5K citations

    1

    h-index

1–5