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ESANN
2007
15 years 1 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
CHI
2009
ACM
16 years 10 days ago
Making sense of strangers' expertise from signals in digital artifacts
Contemporary work increasingly involves interacting with strangers in technology-mediated environments. In this context, we come to rely on digital artifacts to infer characterist...
N. Sadat Shami, Kate Ehrlich, Geri Gay, Jeffrey T....
INFOCOM
2006
IEEE
15 years 5 months ago
QoS, Properties and Views to Achieve Dynamic Adaptivity
— This paper presents our work in the context of the Adaptive Resource Management (ARM) internal research project at the University of Milano-Bicocca, Italy. The project addresse...
Stefano Mussino, Mario Riva
DIM
2005
ACM
15 years 1 months ago
A delegation framework for federated identity management
Identity federation is a powerful scheme that links accounts of users maintained distinctly by different business partners. The concept of network identity is a driver for accele...
Hidehito Gomi, Makoto Hatakeyama, Shigeru Hosono, ...
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ECAI
2008
Springer
15 years 1 months ago
A probabilistic analysis of diagnosability in discrete event systems
Abstract. This paper shows that we can take advantage of information about the probabilities of the occurrences of events, when this information is available, to refine the classic...
Farid Nouioua, Philippe Dague