the actual proportion (fourth bar), i.e. was higher than the candidate in third place. Fig. 3. Vote Distribution according to our Electoral Prospection Model.
We present a method to determine political profiles of a voters popula- tion through the application of learning algorithms and game theory. Our process began ...
Predicting Preferences of Voters from Opinion Polls by Machine Learning and Game Theory. https://doi.org/10.13053/rcs-77-1-11. Journal: Research in Computing ...
Predicting Preferences of Voters from Opinion Polls by Machine Learning and Game Theory. Authors: Guillermo De Ita, Aurelio López López, Josué Pérez.
The main overall conclusion is that the necessary training sample size for a neural network varies significantly with the voting rule, and we rank a number of ...
Learn how AI/ML model evaluation can benefit from techniques used in election polling to improve prediction accuracy and reduce uncertainty.
Missing: Game | Show results with:Game
Feb 12, 2024 · The use of a hybrid approach composed of techniques such as machine learning (ML) and Simulation in forecasting tasks is promising because the ...
May 19, 2018 · The question of how people vote strategically under uncertainty has attracted much attention in several disciplines. Theoretical decision models ...
Missing: Opinion Machine Learning
Feb 25, 2024 · Increasing political polarization makes voters' policy preferences easier to identify from self-reported vote choice and political ideology.
Abstract: This research article, presents an analysis and a comparison of three different algorithms: A.- Grouping method K-means, B.-Expectation a.