| Ordering by weighted number of wins gives a good ranking for weighted tournaments |
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Symposium on Discrete Algorithms
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Proceedings of the seventeenth annual ACM-SIAM symposium on Discrete algorithm
table of contents
Miami, Florida
Pages: 776 - 782
Year of Publication: 2006
ISBN:0-89871-605-5
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Downloads (6 Weeks): 3, Downloads (12 Months): 48, Citation Count: 14
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ABSTRACT
We consider the following simple algorithm for feedback arc set problem in weighted tournaments --- order the vertices by their weighted indegrees. We show that this algorithm has an approximation guarantee of 5 if the weights satisfy probability constraints (for any pair of vertices u and v, wuv + wvu = 1). Special cases of feedback arc set problem in such weighted tournaments include feedback arc set problem in unweighted tournaments and rank aggregation. Finally, for any constant ε > 0, we exhibit an infinite family of (unweighted) tournaments for which the above algorithm (irrespective of how ties are broken) has an approximation ratio of 5 - ε.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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CITED BY 14
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Anke van Zuylen , Rajneesh Hegde , Kamal Jain , David P. Williamson, Deterministic pivoting algorithms for constrained ranking and clustering problems, Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms, p.405-414, January 07-09, 2007, New Orleans, Louisiana
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Maria-Florina Balcan , Nikhil Bansal , Alina Beygelzimer , Don Coppersmith , John Langford , Gregory B. Sorkin, Robust reductions from ranking to classification, Machine Learning, v.72 n.1-2, p.139-153, August 2008
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Ioannis Caragiannis , Jason A. Covey , Michal Feldman , Christopher M. Homan , Christos Kaklamanis , Nikos Karanikolas , Ariel D. Procaccia , Jeffrey S. Rosenschein, On the approximability of Dodgson and Young elections, Proceedings of the Nineteenth Annual ACM -SIAM Symposium on Discrete Algorithms, p.1058-1067, January 04-06, 2009, New York, New York
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Weiwei Cheng , Jens Hühn , Eyke Hüllermeier, Decision tree and instance-based learning for label ranking, Proceedings of the 26th Annual International Conference on Machine Learning, p.161-168, June 14-18, 2009, Montreal, Quebec, Canada
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