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This paper studies problems of inferring order given noisy information.
Non-null ranking models
C. L. Mallows · 1957
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Spearman’s footrule as a measure of disarray
Persi Diaconis and R. L. Graham · 1977
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Distance based ranking models
M. A. Flinger and J.S. Verducci · 1986
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Group representations in probability and statistics
Persi Diaconis · 1988
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Multistage ranking models
M. A. Flinger and J.S. Verducci · 1988
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Voting schemes for which it can be difficult to tell who won the election
J. Bartholdi, III, C. A. Tovey, and M. A. Trick · 1989
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Computing with unreliable information
U. Feige, D. Peleg, P. Raghavan, and E. Upfal · 1990
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Posterior probability for a consensus ordering
M. A. Flinger and J.S. Verducci · 1990
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Learning to order things
William W. Cohen, Robert E. Schapire, and Yoram Singer · 1999
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Aggregating inconsistent information: ranking and clustering
N. Ailon, M. Charikar, and A. Newman · 2005
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Ranking tournaments
N. Alon · 2006
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Ordering by weighted number of wins gives a good ranking for weighted tournaments
Don Coppersmith, Lisa Fleischer, and Atri Rudra · 2006
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Noisy binary serach and its applications
D. Karp and B. Kleinberg · 2007
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How to rank with few errors
C. Kenyon-Mathieu and W. Schudy · 2007
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Consenus ranking under the exponential model
M. Meila, K. Phandis, A. Patterson, and J. Blimes · 2007
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Noisy sorting without resampling
M. Braverman and E. Mossel · 2008
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