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weighted voting

A Novel Weighted Voting for K-Nearest Neighbor Rule

A Novel Weighted Voting for K-Nearest Neighbor Rule

... Since the k-nearest neighbor (KNN) rule was firstly introduced by Fix and Hodges [1], it has been one of the well-known and widely used nonparametric classifiers in pattern classification. The basic idea of this rule is ...

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On the Complexity of the Inverse Semivalue Problem for Weighted Voting Games

On the Complexity of the Inverse Semivalue Problem for Weighted Voting Games

... Weighted voting games are a family of cooperative games, typically used to model voting situations where a number of agents (players) vote against or for a ...appropriately weighted sum of the ...

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Combinatorial and computational aspects of multiple weighted voting games

Combinatorial and computational aspects of multiple weighted voting games

... Weighted voting games have also been applied in various political and economic ...on voting power in WVG’s. The distribution of voting power in the European Union Council of Ministers has ...

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Femtocell network power control scheme based on the weighted voting game

Femtocell network power control scheme based on the weighted voting game

... Weighted voting game (WVG) is a well-known co- operative game model and a lot of researches have been carried out in political science, economics, logic theory, and distributed ...Therefore, ...

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Capitalizing The Collective Knowledge for Video Annotation Refinement using Dynamic Weighted Voting Kirubai Dhanaraj, Rajkumar Kannan

Capitalizing The Collective Knowledge for Video Annotation Refinement using Dynamic Weighted Voting Kirubai Dhanaraj, Rajkumar Kannan

... The automatic video annotation refinement with dynamic weighted voting algorithm in this paper refines the annotations and improves the accuracy of annotation. It improves the performance of annotation ...

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Proportional payoffs in legislative bargaining with weighted voting: a characterization

Proportional payoffs in legislative bargaining with weighted voting: a characterization

... Given that the proof in Snyder et al. (2005) only covers replicated games, how far this result extends to the legislatures with only a few parties that arise in applications is an open question. The present paper ...

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Efficient algorithm for designing weighted voting games

Efficient algorithm for designing weighted voting games

... ing voting power and weighted voting ...a weighted voting ...designing voting games and weighted voting games in ...design weighted voting games and ...

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Classification Of Computationally Tractable Weighted Voting Games

Classification Of Computationally Tractable Weighted Voting Games

... We observe that in a 2-geometric WVG (such as [ q ; 2 n , 2 n−1 , ..., ]), for any target sum of a coalition, we can use a greedy approach, trying to put bigger weights first, to come as close to the target as possible. ...

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Variation in weighted voting games

Variation in weighted voting games

... Although both tolerance and amplitude has been used in the WVG literature to signify the maximum possible variation in the weights and the quota without changing the game, the amplitude [r] ...

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Computation of power indices

Computation of power indices

... In designing a system of weighted voting, weights ought to be allocated to members in such a way as to bring about the desired distribution of voting power. This issue is discussed in Nurmi (1981). ...

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PhosphoRice: a meta-predictor of rice-specific phosphorylation sites

PhosphoRice: a meta-predictor of rice-specific phosphorylation sites

... To summarize, we created a meta-predictor, PhosphoR- ice, using a weighted voting strategy, in which para- meters were selected by restricted grid search and conditional random search. It shows good ...

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PubMedCentral-PMC4833707.pdf

PubMedCentral-PMC4833707.pdf

... non-local weighted voting of the labels of training atlas patches to determine the ...advanced voting weights derived by sparse representation [14, 15] or joint fusion methods [16, ...

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Health Care Financing and Expenditure Dynamics in South Africa

Health Care Financing and Expenditure Dynamics in South Africa

... a weighted voting system (Gianaris, 1990-1991; Leech, 2002), in contrast to the situation which existed prior to World War II, where ―most international organizations had equal voting ...The ...

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Consistency of Multiclass Empirical Risk Minimization Methods Based on Convex Loss

Consistency of Multiclass Empirical Risk Minimization Methods Based on Convex Loss

... In this paper we consider the constrained comparison method in multiclass classification prob- lem. One of our goals is to generalize the results of consistency for weighted voting schemes in Lugosi and ...

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Increasing the accuracy of crowdsourced information on land cover via a voting procedure weighted by information inferred from the contributed data

Increasing the accuracy of crowdsourced information on land cover via a voting procedure weighted by information inferred from the contributed data

... Abstract: Simple consensus methods are often used in crowdsourcing studies to label cases when data are provided by multiple contributors. A basic majority vote rule is often used. This approach weights the contributions ...

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Reforming IMF and World Bank governance : in search of simplicity, transparency and democratic legitimacy in the voting rules

Reforming IMF and World Bank governance : in search of simplicity, transparency and democratic legitimacy in the voting rules

... the voting rules at the heart of the governance of the IMF and World Bank (the BWIs) in terms of three principles that we suggest ought to be fundamental: simplicity, transparency and democratic ...of ...

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An algorithm for optimal fusion of atlases with different labeling protocols

An algorithm for optimal fusion of atlases with different labeling protocols

... majority voting, generalized semi-locally weighted voting uses the image intensities to estimate the contributions from the different atlases; however, it still suffers from the shortcoming that it ...

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Dynamic Integration of Classifiers for Tracking Concept Drift in Antibiotic Resistance Data

Dynamic Integration of Classifiers for Tracking Concept Drift in Antibiotic Resistance Data

... Abstract. In the real world concepts are often not stable but change with time. A typical example of this in the medical context is antibiotic resistance, where patho- gen sensitivity may change over time as new pathogen ...

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Social Image Tag Relevance Learning based on Pixel Voting

Social Image Tag Relevance Learning based on Pixel Voting

... best voting rights to determine the relevant tags for each social ...pixel voting method to choose the visual neighbors for seed images, and these visual neighbors have weighted voting right ...

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Voting power and voting blocs

Voting power and voting blocs

... the voting model assumed and the ...probabilistic voting as either a description of actual behaviour, taking into account relationships between members and party blocs, or a stylised model in which all ...

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