Concept
Approval voting
Related publications (12)
Predicting party switching through machine learning and open data
Silvestro Micera, Emanuele Rossi
Parliament dynamics might seem erratic at times. Predicting future voting patterns could support policy design based on the simulation of voting scenarios. The availability of open data on legislative activities and machine learning tools might enable such ...
CELL PRESS2023Incompleteness of graph neural networks for points clouds in three dimensions
Michele Ceriotti, Sergey Pozdnyakov
Graph neural networks (GNN) are very popular methods in machine learning and have been applied very successfully to the prediction of the properties of molecules and materials. First-order GNNs are well known to be incomplete, i.e. there exist graphs that ...
IOP Publishing Ltd2022The probability of intransitivity in dice and close elections
We study the phenomenon of intransitivity in models of dice and voting. First, we follow a recent thread of research for n-sided dice with pairwise ordering induced by the probability, relative to 1/2, that a throw from one die is higher than the other. We ...
2020Sub-Matrix Factorization for Real-Time Vote Prediction
Patrick Thiran, Matthias Grossglauser, Victor Kristof
We address the problem of predicting aggregate vote outcomes (e.g., national) from partial outcomes (e.g., regional) that are revealed sequentially. We combine matrix factorization techniques and generalized linear models (GLMs) to obtain a flexible, effic ...
2020Moral Matrices
In this dissertation, I address the political and moral geography of Swiss federal participatory votes for the period between 1981 and 2014 to re-investigate some of the fundamental questions left open in urban sciences: how and why socio-ethical, moral an ...
EPFL2017