Score-based Structure Learning

Score-Based Structure Learning is a computational method for inferring the structure of a Directed Acyclic Graph by assigning a score to each candidate graph based on the fit between the graph and observed data, then selecting the graph that maximizes this score.

41

Publications

1.6K

Citations

111

Authors

62

Institutions

Publications per year

2017–2026

15

Authors

111

  1. MS
    Marco Scutari

    Dalle Molle Institute for Artificial Intelligence Research, Switzerland

    5 publications · 263 citations

    5

    h-index

  2. PP
    Pekka Parviainen

    Helsinki Institute for Information Technology, Finland

    3 publications · 91 citations

    3

    h-index

  3. SW
    Shahab Wahhab Kareem

    Sulaimani Polytechnic University, Iraq

    3 publications · 49 citations

    3

    h-index

  4. QZ
    Qing Zhou

    University of California, Los Angeles, United States

    2 publications · 81 citations

    2

    h-index

  5. SO
    Sebastian Ordyniak

    TU Wien, Austria

    2 publications · 74 citations

    2

    h-index

1–5 of 111

Venues

  1. arXiv (Cornell University)

    Repository · 8 publications · 291 citations

    8

    h-index

  2. Journal of Statistical Software

    JSS · 2 publications · 170 citations

    2

    h-index

  3. 1

    h-index

  4. Journal of Artificial Intelligence Research

    JAIR · 1 publications · 60 citations

    1

    h-index

  5. 1

    h-index

1–5