A crowdsourcing triage algorithm for geopolitical event forecasting-Reference-Cited by-同舟云学术

A crowdsourcing triage algorithm for geopolitical event forecasting

Published:2018-09-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 12th ACM Conference on Recommender Systems
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Author:

Rostami Mohammad¹,Huber David²,Lu Tsai-Ching²

Affiliation:

1. University of Pennsylvania

2. HRL Laboratories, LLC

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3240323.3240385

Reference16 articles.

1. P. D. Atanasov P. Rescober E. Stone S. Swift E. Servan-Schreiber P. Tetlock L. Ungar and B. Mellers. 2015. Distilling the wisdom of crowds: Prediction markets versus prediction polls. (2015). P. D. Atanasov P. Rescober E. Stone S. Swift E. Servan-Schreiber P. Tetlock L. Ungar and B. Mellers. 2015. Distilling the wisdom of crowds: Prediction markets versus prediction polls. (2015).

2. Y. Bachrach T. Graepel T. Minka and J. Guiver. 2012. How to grade a test without knowing the answers---a Bayesian graphical model for adaptive crowdsourcing and aptitude testing. ICML (2012). Y. Bachrach T. Graepel T. Minka and J. Guiver. 2012. How to grade a test without knowing the answers---a Bayesian graphical model for adaptive crowdsourcing and aptitude testing. ICML (2012).

3. Improving Intelligence Analysis With Decision Science

4. Fast Solution of $\ell _{1}$-Norm Minimization Problems When the Solution May Be Sparse

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