Name
Abstract | ||
|---|---|---|
The task of aggregating and denoising crowd-labeled data has gained increased significance with the advent of crowdsourcing platforms and massive datasets. We propose a permutation-based model for crowd labeled data that is a significant generalization of the classical Dawid-Skene model, and introduce a new error metric by which to compare different estimators. We derive global minimax rates for t... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TIT.2020.3045613 | IEEE Transactions on Information Theory |
Keywords | DocType | Volume |
Task analysis,Data models,Crowdsourcing,Computational modeling,Labeling,Estimation,Noise measurement | Journal | 67 |
Issue | ISSN | Citations |
6 | 0018-9448 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nihar B. Shah | 1 | 1202 | 77.17 |
| Balakrishnan, Sivaraman | 2 | 320 | 25.13 |
| Martin J. Wainwright | 3 | 7398 | 533.01 |