On Source Dependency Models for Reliable Social Sensing: Algorithms and Fundamental Error Bounds

Article Details
Title:	On Source Dependency Models for Reliable Social Sensing: Algorithms and Fundamental Error Bounds
Article URLs:	https://doi.org/10.1109/ICDCS.2016.75 http://doi.ieeecomputersociety.org/10.1109/ICDCS.2016.75
Alternative Article URLs:
Authors:	Shuochao Yao	University of Illinois at Urbana-Champaign
	Shaohan Hu	University of Illinois at Urbana-Champaign
	Shen Li	University of Illinois at Urbana-Champaign
	Yiran Zhao	University of Illinois at Urbana-Champaign
	Lu Su	State University of New York at Buffalo
	Lance M. Kaplan	Army Research Labs
	Aylin Yener	Pennsylvania State University
	Tarek F. Abdelzaher	University of Illinois at Urbana-Champaign
Sharing:	Unknown
Verification:	Authors have not verified information
Artifact Evaluation Badge:	none
Artifact URLs:	http://apollo3.cs.illinois.edu/
Artifact Correspondence Email Addresses:
NSF Award Numbers:	0905014, 1035736
DBLP Key:	conf/icdcs/YaoHLZSKYA16
Author Comments:

IEEE International Conference on Distributed Computing Systems, ICDCS 2016