Decision Tree Translation

Decision Tree Translation is a methodological framework within influence diagram analysis that systematically converts decision problems represented as influence diagrams into equivalent decision tree structures, preserving probabilistic dependencies and decision sequences while enabling explicit enumeration of all possible decision and outcome paths.

8

Publications

344

Citations

28

Authors

23

Institutions

Publications per year

2017–2026

2

Authors

28

  1. CJ
    Cornelis J.A. Punt

    Radboud University Nijmegen, Netherlands

    1 publications · 19 citations

    1

    h-index

  2. MK
    Milan Kos

    University of Amsterdam, Netherlands

    1 publications · 19 citations

    1

    h-index

  3. MG
    Martijn G.H. van Oijen

    University Medical Center Utrecht, Netherlands

    1 publications · 19 citations

    1

    h-index

  4. WC
    Wei Chen

    Microsoft Research Asia (China), China

    1 publications · 20 citations

    1

    h-index

  5. AR
    Alejandra Romero

    Universidad Autónoma de Madrid, Spain

    1 publications · 19 citations

    1

    h-index

1–5 of 28

Venues

  1. Soil Science

    1 publications · 17 citations

    1

    h-index

  2. 1

    h-index

  3. 1

    h-index

  4. Communications of the ACM

    1 publications · 30 citations

    1

    h-index

1–4