A Dynamic Model of Democratic Elections in Multidimensional Policy Spaces [PDF]
We propose a general model of repeated elections. In each period, a challenger is chosen from the electorate to run against an incumbent politician in a majority-rule election, and the winner then selects a policy from a multidimensional policy space ...
Jeffrey S. Banks, John Duggan
core
Honey yield prediction and neonicotinoid risk assessment utilizing a machine learning framework in smart agriculture. [PDF]
Sci RepGhafoor A +6 more
europepmc +1 more source
A Review and Experimental Analysis of Supervised Learning Systems and Methods for Protein-Protein Interaction Detection. [PDF]
Int J Mol SciTaha K.
europepmc +1 more source
Electoral Competition under Media Influence [PDF]
We suggest a model of electoral competition between two parties which is extended by a third player : mass media. The classical one-dimensional competition model is changed by introducing an issue-specific sensibility-coefficient and by allowing for non ...
Bräuer, Wolfgang
core
Machine Learning for Predicting Coronary Heart Disease Risk in Patients with Hypertension: An Ensemble Modeling Approach. [PDF]
Healthc Inform ResHassan FH, Wang S, Miron A.
europepmc +1 more source
Harnessing hybrid stacking ensemble learning for accurate pulmonary embolism diagnosis using tabular clinical data. [PDF]
Sci RepAbdelhamid A +5 more
europepmc +1 more source
A Probabilistic Model for Positional Voting - Spectrum Games -
, 2001 This thesis considers a class of cooperative n-person games (voting games) in which the voters are spread across an ideological scale. The two most commonly used measures of individual voting power in voting games are the Shapley-Shubik index and the ...
Perlinger, Thommy
core
SelectVote Byzantine Fault Tolerance for Evidence Custody: Virtual Voting Consensus with Environmental Compensation. [PDF]
Sensors (Basel)Onyeashie BI +3 more
europepmc +1 more source
POTENTIAL, VALUE AND PROBABILITY [PDF]
This paper focuses on the probabilistic point of view and proposes a extremely simple probabilistic model that provides a single and simple story to account for several extensions of the Shapley value, as weighted Shapley values, semivalues, and weak ...
Annick Laruelle, Federico Valenciano
core
Predictive voting model for early diagnosis of diabetes dataset. [PDF]
Front Cardiovasc MedAl-Bimani T +4 more
europepmc +1 more source