Binary Aggregation by Selection of the Most Representative Voters
Authors: Ulle Endriss, Umberto Grandi
AAAI 2014 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | Such approximation results form the technical core of the paper. We also introduce a third representative-voter rule, the ranked-voter rule, which although based on similarly natural basic principles is considerably less attractive from the point of view of approximation. |
| Researcher Affiliation | Academia | Ulle Endriss Institute for Logic, Language and Computation University of Amsterdam The Netherlands ulle.endriss@uva.nl Umberto Grandi Department of Mathematics University of Padova Italy umberto.uni@gmail.com |
| Pseudocode | No | The paper describes procedures in prose and structured text, but does not include formal pseudocode blocks or sections labeled 'Algorithm'. |
| Open Source Code | No | The paper does not provide information or links regarding the release of open-source code for the described methodology. |
| Open Datasets | No | This paper is theoretical and uses illustrative examples rather than publicly available datasets for empirical training or evaluation. |
| Dataset Splits | No | This paper is theoretical and does not describe empirical experiments with dataset splits for training, validation, or testing. |
| Hardware Specification | No | The paper is theoretical and does not describe empirical experiments, therefore no hardware specifications are provided. |
| Software Dependencies | No | The paper is theoretical and does not describe empirical experiments, therefore no software dependencies with version numbers are listed. |
| Experiment Setup | No | The paper is theoretical and focuses on mathematical proofs and definitions, thus no experimental setup details or hyperparameters are provided. |