Results 11 to 20 of about 6,031 (199)
Metric Distortion Under Probabilistic Voting
Metric distortion in social choice is a framework for evaluating how well voting rules minimize social cost when both voters and candidates exist in a shared metric space, with a voter's cost defined by their distance to a candidate. Voters submit rankings, and the rule aggregates these rankings to determine a winner.
Mohak Goyal, Sahasrajit Sarmasarkar
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Probabilistic models of profiles for voting by evaluation
Considering voting rules based on evaluation inputs rather than preference rankings modifies the paradigm of probabilistic studies of voting procedures. This article proposes several simulation models for generating evaluation-based voting inputs. These models can cope with dependent and non identical marginal distributions of the evaluations received ...
Aubin, Jean-Baptiste +3 more
core +7 more sources
Candidate Stability and Probabilistic Voting Procedures [PDF]
We extend the analysis of Dutta, Jackson and Le Breton (Econometrica 2001) on strategic candidacy to probabilistic environments. For each configuration of the agenda and each profile of voters' preferences over running candidates a probabilistic voting procudure selects a lottery on the set of candidates at stake.
Rodriguez-Alvarez, Carmelo +1 more
core +3 more sources
Probabilistic view of voting, paradoxes, and manipulation
The Marquis de Condorcet, a French philosopher, mathematician, and political scientist, studied mathematical aspects of voting in the eighteenth century. Condorcet was interested in studying voting rules as procedures for aggregating noisy signals and in the paradoxical nature of ranking three or more alternatives.
Mossel, Elchanan
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Visual place recognition with probabilistic voting [PDF]
We propose a novel scoring concept for visual place recognition based on nearest neighbor descriptor voting and demonstrate how the algorithm naturally emerges from the problem formulation. Based on the observation that the number of votes for matching places can be evaluated using a binomial distribution model, loop closures can be detected with high ...
Mathias Gehrig +3 more
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Fast Probabilistic Consensus with Weighted Votes [PDF]
The fast probabilistic consensus (FPC) is a voting consensus protocol that is robust and efficient in Byzantine infrastructure. We propose an adaption of the FPC to a setting where the voting power is proportional to the nodes reputations. We model the reputation using a Zipf law and show using simulations that the performance of the protocol in ...
Müller, Sebastian +4 more
openaire +3 more sources
Refining ensembles of predicted gene regulatory networks based on characteristic interaction sets. [PDF]
Different ensemble voting approaches have been successfully applied for reverse-engineering of gene regulatory networks. They are based on the assumption that a good approximation of true network structure can be derived by considering the frequencies of
Lukas Windhager +2 more
doaj +1 more source
Comparison of Hybrid Classifiers for Crop Classification Using Normalized Difference Vegetation Index Time Series: A Case Study for Major Crops in North Xinjiang, China. [PDF]
A range of single classifiers have been proposed to classify crop types using time series vegetation indices, and hybrid classifiers are used to improve discriminatory power.
Pengyu Hao, Li Wang, Zheng Niu
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Neighborhood Approximations for Non-Linear Voter Models
Non-linear voter models assume that the opinion of an agent depends on the opinions of its neighbors in a non-linear manner. This allows for voting rules different from majority voting. While the linear voter model is known to reach consensus, non-linear
Frank Schweitzer, Laxmidhar Behera
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When do You Want It? Determinants of Future-Oriented Political Thinking
Many studies have examined whether citizens prefer direct or stealth democracy, or participatory democratic processes. This study adds to the emerging literature that instead examines the temporal aspect of citizens’ process preferences.
Lauri Rapeli +3 more
doaj +1 more source

