Abstract
In this study we address the problem of integrating information from several experts with unknown levels of expertise. In the usual setup each expert expresses her opinion by choosing one of the options. Here we assume that each expert provides her opinion in a soft manner via a distribution on the possible options. The goal is to find the reliability level of each expert and to optimally integrate their information. We develop an estimation algorithm which is an instance of the EM algorithm and an efficiently computed approximation of the E-step. Finally we present simulations that demonstrate the improved performance of the proposed approach.
| Original language | English |
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| Title of host publication | 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 2334-2338 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781479999880 |
| DOIs | |
| State | Published - 18 May 2016 |
| Event | 41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Shanghai, China Duration: 20 Mar 2016 → 25 Mar 2016 |
Publication series
| Name | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
|---|---|
| Volume | 2016-May |
| ISSN (Print) | 1520-6149 |
Conference
| Conference | 41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 |
|---|---|
| Country/Territory | China |
| City | Shanghai |
| Period | 20/03/16 → 25/03/16 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.
Keywords
- EM algorithm
- Unreliable experts
- crowd-sourcing