Nov 15, 2022 · Our approach is to designate a second type of agent -- a judge -- to weight the experts to improve overall accuracy. The catch is that the judge ...
Sep 4, 2024 · Our approach is to designate a second type of agent -- a judge -- to weight the experts to improve overall accuracy. The catch is that the judge ...
We consider the problem of aggregating binary votes from an ensemble of experts to reveal an underlying binary ground truth where each expert votes ...
Jul 6, 2020 · If we also see that inconsistent weights mirror the predictive power of expert judges, then we have strong evidence that the judges are using ...
Weighting Experts with Inaccurate Judges. B Abramowitz, N Mattei. arXiv ... Towards Group Learning: Distributed Weighting of Experts. B Abramowitz, N ...
Jun 10, 2024 · The traditional way to measure and quantify the level of complexity of different court cases is by assigning a separate weight to each case-type or case-type- ...
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Statistical aggregation is often used to combine multiple opinions within a group. Such aggregates outperform individuals, including experts, in various ...
[PDF] The Robust Beauty of Improper Linear Models in Decision Making
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Because the expert judge knows at least something about the direction of the variables, his or her judgments yield weights that are nearly optimal (but note.
Under the Delphi methodology for developing case weighting systems, experts. (seasoned judges) are asked to estimate the amount of time necessary to handle.
Though the judge does not explicitly mention error rates, the analysis is an implicit consideration of the likelihood of error: what we will call an implicit.