Conference item
Refining tournament solutions via margin of victory
- Abstract:
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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...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Accepted manuscript, pdf, 303.8KB)
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- Publisher copy:
- 10.1609/aaai.v34i02.5554
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Authors
Bibliographic Details
- 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:
- Source identifiers:
-
1078661
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
pubs:1078661
- UUID:
-
uuid:942e766c-44a9-48c5-9616-73efc2c8d489
- Local pid:
- pubs:1078661
- Deposit date:
- 2020-01-07
Terms of use
- Copyright holder:
- Association for the Advancement of Artificial Intelligence
- Copyright date:
- 2020
- 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
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