Borda count

Results: 77



#Item
11Efficient Vote Elicitation under Candidate Uncertainty Joel Oren and Yuval Filmus and Craig Boutilier Department of Computer Science, University of Toronto {oren,yuvalf,cebly}@cs.toronto.edu  Abstract

Efficient Vote Elicitation under Candidate Uncertainty Joel Oren and Yuval Filmus and Craig Boutilier Department of Computer Science, University of Toronto {oren,yuvalf,cebly}@cs.toronto.edu Abstract

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Source URL: www.cs.toronto.edu

Language: English - Date: 2013-04-27 18:48:52
12arXiv:1502.04354v2 [cs.DS] 20 FebSample Complexity for Winner Prediction in Elections Arnab Bhattacharyya and Palash Dey {arnabb,palash}@csa.iisc.ernet.in

arXiv:1502.04354v2 [cs.DS] 20 FebSample Complexity for Winner Prediction in Elections Arnab Bhattacharyya and Palash Dey {arnabb,palash}@csa.iisc.ernet.in

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Source URL: arxiv.org

Language: English - Date: 2015-02-22 20:18:48
13Efficient Vote Elicitation under Candidate Uncertainty Joel Oren and Yuval Filmus and Craig Boutilier Department of Computer Science, University of Toronto {oren,yuvalf,cebly}@cs.toronto.edu  Abstract

Efficient Vote Elicitation under Candidate Uncertainty Joel Oren and Yuval Filmus and Craig Boutilier Department of Computer Science, University of Toronto {oren,yuvalf,cebly}@cs.toronto.edu Abstract

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Source URL: www.cs.toronto.edu

Language: English - Date: 2014-01-02 16:06:11
14The Core with Positional Spatial Voting Donald G. Saari Institute for Mathematical Behavioral Sciences, University of California, Irvine, California (eMail: )  Abstract After introducing a way to analyze po

The Core with Positional Spatial Voting Donald G. Saari Institute for Mathematical Behavioral Sciences, University of California, Irvine, California (eMail: ) Abstract After introducing a way to analyze po

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Source URL: www.imbs.uci.edu

Language: English - Date: 2014-11-04 13:01:49
15CONNECTING PAIRWISE AND POSITIONAL ELECTION OUTCOMES DONALD G. SAARI AND TOMAS J. MCINTEE INSTITUTE FOR MATHEMATICAL BEHAVIORAL SCIENCE UNIVERSITY OF CALIFORNIA, IRVINE, CAAbstract. General conclusions relat

CONNECTING PAIRWISE AND POSITIONAL ELECTION OUTCOMES DONALD G. SAARI AND TOMAS J. MCINTEE INSTITUTE FOR MATHEMATICAL BEHAVIORAL SCIENCE UNIVERSITY OF CALIFORNIA, IRVINE, CAAbstract. General conclusions relat

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Source URL: www.imbs.uci.edu

Language: English - Date: 2014-11-04 13:01:36
16Applied mathematics / Borda count / FO / Kullback–Leibler divergence / Universal quantification / Dynamic programming / Μ operator / Single winner electoral systems / Theoretical computer science / Mathematics

Robust Winners and Winner Determination Policies under Candidate Uncertainty Craig Boutilier J´erˆome Lang Department of Computer Science

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Source URL: www.cs.toronto.edu

Language: English - Date: 2014-05-02 13:25:40
17Democratic Processes and ICTs

Democratic Processes and ICTs

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Source URL: projectdanube.org

Language: English - Date: 2012-02-22 10:12:38
18Efficient Vote Elicitation under Candidate Uncertainty Joel Oren and Yuval Filmus and Craig Boutilier Department of Computer Science, University of Toronto {oren,yuvalf,cebly}@cs.toronto.edu  Abstract

Efficient Vote Elicitation under Candidate Uncertainty Joel Oren and Yuval Filmus and Craig Boutilier Department of Computer Science, University of Toronto {oren,yuvalf,cebly}@cs.toronto.edu Abstract

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Source URL: www.cs.toronto.edu

Language: English - Date: 2013-04-27 18:08:26
19Bayesian Vote Manipulation: Optimal Strategies and Impact on Welfare Tyler Lu Pingzhong Tang Ariel D. Procaccia

Bayesian Vote Manipulation: Optimal Strategies and Impact on Welfare Tyler Lu Pingzhong Tang Ariel D. Procaccia

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Source URL: www.cs.toronto.edu

Language: English - Date: 2012-07-09 19:49:49
20Bayesian Vote Manipulation: Optimal Strategies and Impact on Welfare Tyler Lu Pingzhong Tang Ariel D. Procaccia

Bayesian Vote Manipulation: Optimal Strategies and Impact on Welfare Tyler Lu Pingzhong Tang Ariel D. Procaccia

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Source URL: www.cs.toronto.edu

Language: English - Date: 2012-07-09 19:50:29