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PE
2010
Springer
170views Optimization» more  PE 2010»
15 years 2 months ago
Approximating passage time distributions in queueing models by Bayesian expansion
We introduce Bayesian Expansion (BE), an approximate numerical technique for passage time distribution analysis in queueing networks. BE uses a class of Bayesian networks to appro...
Giuliano Casale
143
Voted
NIPS
2000
15 years 4 months ago
Learning Joint Statistical Models for Audio-Visual Fusion and Segregation
People can understand complex auditory and visual information, often using one to disambiguate the other. Automated analysis, even at a lowlevel, faces severe challenges, includin...
John W. Fisher III, Trevor Darrell, William T. Fre...
161
Voted
ASIAMS
2009
IEEE
15 years 10 months ago
CSI Feedback Model in the Context of Adaptive Cognitive Radio Systems
Cognitive radio has the ability to sense the environment and adapt its behavior to optimize communication features, such as quality of service in the presence of interference and ...
Haleh Hosseini, Anis Izzati Ahmad Zamani, Sharifah...
PET
2009
Springer
15 years 10 months ago
Vida: How to Use Bayesian Inference to De-anonymize Persistent Communications
We present the Vida family of abstractions of anonymous communication systems, model them probabilistically and apply Bayesian inference to extract patterns of communications and u...
George Danezis, Carmela Troncoso
ICALT
2008
IEEE
15 years 10 months ago
Designing a Dynamic Bayesian Network for Modeling Students' Learning Styles
When using Learning Object Repositories, it is interesting to have mechanisms to select the more adequate objects for each student. For this kind of adaptation, it is important to...
Cristina Carmona, Gladys Castillo, Eva Millá...