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Volumn 2, Issue , 2009, Pages 1030-1037

How similarity helps to efficiently compute Kemeny rankings

Author keywords

Exact algorithm; Fixed parameter tractability; NP hard problem; Rank aggregation; Structural parameterization

Indexed keywords

AUTONOMOUS AGENTS; COMPUTATIONAL COMPLEXITY;

EID: 84899891115     PISSN: 15488403     EISSN: 15582914     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (23)
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  • 2
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    • Voting 2i schemes for which it can be difficult to tell who won the election
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    • Betzler, N.1    Guo, J.2    Niedermeier, R.3
  • 5
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    • Parameterized complexity of candidate control in elections and related digraph problems
    • volume 5165 of LNCS, Springer
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    • Betzler, N.1    Uhlmann, J.2
  • 7
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    • Computing slater rankings using similarities among candidates
    • AAAI Press
    • V. Conitzer. Computing Slater rankings using similarities among candidates. In Proc. 21st AAAI, pages 613-619. AAAI Press, 2006.
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  • 8
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    • Improved bounds for computing kemeny rankings
    • AAAI Press
    • V. Conitzer, A. Davenport, and J. Kalagnanam. Improved bounds for computing Kemeny rankings. In Proc. 21st AAAI, pages 620-626. AAAI Press, 2006.
    • (2006) Proc. 21st AAAI , pp. 620-626
    • Conitzer, V.1    Davenport, A.2    Kalagnanam, J.3
  • 9
    • 84899838396 scopus 로고    scopus 로고
    • Preference functions that score rankings and maximun likelihood estimation
    • V. Conitzer, M. Rognlie, and L. Xia. Preference functions that score rankings and maximun likelihood estimation. In Proc. of 2nd COMSOC, pages 181-192.
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  • 10
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    • Common voting rules as maximum likelihood estimators
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  • 11
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    • A. Davenport and J. Kalagnanam. A computational study of the Kemeny rule for preference aggregation. In Proc. 19th AAAI, pages 697-702. AAAI Press, 2004.
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    • Davenport, A.1    Kalagnanam, J.2
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.