Quadratic Voting and the Normalized Gradient Addition mechanism are both social choice mechanisms that confront individuals with quadratic budget constraints, but they are applicable in different contexts. Adapting one or both to apply to the same context, this paper explores the relationship between these two mechanisms in three contexts: marginal adjustments of continuous policies, simultaneous voting on many public choices, and voting on a single public choice accompanied by private monetary consequences. In the process, we provide some formal analysis of Quadratic Voting when (instead of money) votes are paid for with abstract tokens that are equally distributed by the mechanism designer.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5649642 | PMC |
| http://dx.doi.org/10.1007/s11127-017-0414-3 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Density Classification with Non-Unitary Quantum Cellular Automata.
Entropy (Basel)
December 2024
School of Mathematical and Physical Sciences, Macquarie University, Sydney, NSW 2109, Australia.
The density classification (DC) task, a computation which maps global density information to local density, is studied using one-dimensional non-unitary quantum cellular automata (QCAs). Two approaches are considered: one that preserves the number density and one that performs majority voting. For number-preserving DC, two QCAs are introduced that reach the fixed-point solution in a time scaling quadratically with the system size.
View Article and Find Full Text PDFCancer diagnosis based on laser-induced breakdown spectroscopy with bagging-voting fusion model.
Med Eng Phys
October 2024
Department of Pediatrics, Renmin Hospital of Wuhan University, Wuhan, China.
Advances in cancer diagnostics play a pivotal role in increasing early detection of cancer. Integrating laser-induced breakdown spectroscopy (LIBS) with machine learning algorithms has attracted wide interest in cancer diagnosis. However, using a single model`s efficacy is limited by algorithm principles, making it challenging to meet the comprehensive needs of cancer diagnosis.
View Article and Find Full Text PDFVertebral Column Pathology Diagnosis Using Ensemble Strategies Based on Supervised Machine Learning Techniques.
Healthcare (Basel)
July 2024
Optimal Mechatronic Design Laboratory, Postgraduate Department, Instituto Politécnico Nacional-Centro de Innovación y Desarrollo Tecnológico en Cómputo, Mexico City 07700, Mexico.
One expanding area of bioinformatics is medical diagnosis through the categorization of biomedical characteristics. Automatic medical strategies to boost the diagnostic through machine learning (ML) methods are challenging. They require a formal examination of their performance to identify the best conditions that enhance the ML method.
View Article and Find Full Text PDFRapid Assessment of Fish Freshness for Multiple Supply-Chain Nodes Using Multi-Mode Spectroscopy and Fusion-Based Artificial Intelligence.
Sensors (Basel)
May 2023
Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast BT9 5DL, UK.
This study is directed towards developing a fast, non-destructive, and easy-to-use handheld multimode spectroscopic system for fish quality assessment. We apply data fusion of visible near infra-red (VIS-NIR) and short wave infra-red (SWIR) reflectance and fluorescence (FL) spectroscopy data features to classify fish from fresh to spoiled condition. Farmed Atlantic and wild coho and chinook salmon and sablefish fillets were measured.
View Article and Find Full Text PDFQGORE: Quadratic-Time Guaranteed Outlier Removal for Point Cloud Registration.
IEEE Trans Pattern Anal Mach Intell
September 2023
With the development of 3D matching technology, correspondence-based point cloud registration gains more attention. Unfortunately, 3D keypoint techniques inevitably produce a large number of outliers, i.e.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!