- Abstract:
-
Tournament solutions are frequently used to select winners from a set of alternatives based on pairwise comparisons between alternatives. Prior work has shown that several common tournament solutions tend to select large winner sets and therefore have low discriminative power. In this paper, we propose a general framework for refining tournament solutions. In order to distinguish between winning alternatives, and also between non-winning ones, we introduce the notion of margin of victory (MoV...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Files:
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(pdf)
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- Publisher copy:
- 10.1609/aaai.v34i02.5554
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- Publisher:
- Association for the Advancement of Artificial Intelligence Publisher's website
- Volume:
- 34
- Issue:
- 2
- Host title:
- Proceedings of the AAAI Conference on Artificial Intelligence
- Publication date:
- 2020-06-15
- Acceptance date:
- 2019-11-10
- Event title:
- AAAI-20 Thirty-Fourth AAAI Conference on Artificial Intelligence
- Event location:
- New York, USA
- Event website:
- https://aaai.org/Conferences/AAAI-20/
- Event start date:
- 2020-02-07T00:00:00Z
- Event end date:
- 2020-01-12T00:00:00Z
- DOI:
- Pubs id:
-
pubs:1078661
- UUID:
-
uuid:942e766c-44a9-48c5-9616-73efc2c8d489
- Source identifiers:
-
1078661
- Local pid:
- pubs:1078661
- Language:
- English
- Keywords:
- Copyright holder:
- Association for the Advancement of Artificial Intelligence
- Rights statement:
- © 2020 Association for the Advancement of Artificial Intelligence.
- Notes:
- This conference paper was presented at the AAAI-20 Thirty-Fourth AAAI Conference on Artificial Intelligence, February 7-12 2020, New York, USA. This is the accepted manuscript version of the paper. The final version is available online from the Association for the Advancement of Artificial Intelligence at: https://doi.org/10.1609/aaai.v34i02.5554
Conference item
Refining tournament solutions via margin of victory
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