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ICML
2009
IEEE
14 years 3 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...
WWW
2009
ACM
14 years 9 months ago
A trust management framework for service-oriented environments
Many reputation management systems have been developed under the assumption that each entity in the system will use a variant of the same scoring function. Much of the previous wo...
William Conner, Arun Iyengar, Thomas A. Mikalsen, ...
IEAAIE
2009
Springer
13 years 6 months ago
Hiding Predictive Association Rules on Horizontally Distributed Data
Abstract. In this work, we propose two approaches of hiding predictive association rules where the data sets are horizontally distributed and owned by collaborative but non-trustin...
Shyue-Liang Wang, Ting-Zheng Lai, Tzung-Pei Hong, ...
CDC
2009
IEEE
135views Control Systems» more  CDC 2009»
14 years 1 months ago
Trust Estimation in autonomic networks: a statistical mechanics approach
— Trust management, broadly intended as the ability to maintain belief relationship among entities, is recognized as a fundamental security challenge for autonomous and selforgan...
Stefano Ermon, Luca Schenato, Sandro Zampieri
ICONIP
2009
13 years 6 months ago
HumanBoost: Utilization of Users' Past Trust Decision for Identifying Fraudulent Websites
In this paper, we present an approach that aims to study users' past trust decisions (PTDs) for improving the accuracy of detecting phishing sites. Generally, Web users requir...
Daisuke Miyamoto, Hiroaki Hazeyama, Youki Kadobaya...