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» Voting Technologies and Trust
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ICML
2009
IEEE
15 years 4 months 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 1 months ago
Enforcing Trust in Pervasive Computing with Trusted Computing Technology
Shiqun Li, Shane Balfe, Jianying Zhou, Kefei Chen
ICWS
2008
IEEE
14 years 11 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 3 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 2 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