@inproceedings{66dc94baef374bf68556fc6f0781eb46,
title = "Combining soft decisions of several unreliable experts",
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.",
keywords = "EM algorithm, Unreliable experts, crowd-sourcing",
author = "Jacob Goldberger",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 ; Conference date: 20-03-2016 Through 25-03-2016",
year = "2016",
month = may,
day = "18",
doi = "10.1109/icassp.2016.7472094",
language = "الإنجليزيّة",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2334--2338",
booktitle = "2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings",
address = "الولايات المتّحدة",
}