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» Voting Technologies and Trust
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ICML
2009
IEEE
16 years 24 days ago
Supervised learning from multiple experts: whom to trust when everyone lies a bit
We describe a probabilistic approach for supervised learning when we have multiple experts/annotators providing (possibly noisy) labels but no absolute gold standard. The proposed...
Vikas C. Raykar, Shipeng Yu, Linda H. Zhao, Anna K...
CRITIS
2006
15 years 9 months ago
Enforcing Trust in Pervasive Computing with Trusted Computing Technology
Shiqun Li, Shane Balfe, Jianying Zhou, Kefei Chen
ICWS
2008
IEEE
15 years 7 months ago
A Trust Vector Approach to Service-Oriented Applications
Trust is a critical issue in e-commerce and e-service environments. In some applications (such as eBay), the trust management mechanisms have been introduced to provide valuable i...
Lei Li, Yan Wang 0002
EEE
2005
IEEE
15 years 11 months ago
Who Counts Your Votes?
Open and fair elections are paramount to modern democracy. Although some people claim that the penciland-paper systems used in countries such as Canada and UK are still the best m...
Halina Kaminski, Lila Kari, Mark Perry
CSE
2009
IEEE
15 years 10 months ago
Privacy-Enhanced Event Scheduling
—Event schedulers, well-known from groupware and social software, typically share the problem that they disclose detailed availability patterns of their users. This paper disting...
Benjamin Kellermann, Rainer Böhme