Finding All Bayesian Network Structures within a Factor of Optimal
- Submitting institution
-
University of York
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 59973087
- Type
- E - Conference contribution
- DOI
-
10.1609/aaai.v33i01.33017892
- Title of conference / published proceedings
- Proceedings of the AAAI Conference on Artificial Intelligence, 33(01)
- First page
- 7892
- Volume
- 33
- Issue
- 1
- ISSN
- 2159-5399
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
-
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper was published in one of the top AI conferences and is part of a collaboration with University of Waterloo. The method described in the paper is significantly more efficient than previous methods and allows applications to much larger problems than existing approaches.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -