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PE
2010
Springer
170views Optimization» more  PE 2010»
13 years 6 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
CSFW
2007
IEEE
14 years 1 months ago
Probability of Error in Information-Hiding Protocols
Randomized protocols for hiding private information can often be regarded as noisy channels in the informationtheoretic sense, and the inference of the concealed information can b...
Konstantinos Chatzikokolakis, Catuscia Palamidessi...
AGI
2008
13 years 9 months ago
Artificial General Intelligence through Large-Scale, Multimodal Bayesian Learning
Abstract. An artificial system that achieves human-level performance on opendomain tasks must have a huge amount of knowledge about the world. We argue that the most feasible way t...
Brian Milch
UAI
1996
13 years 9 months ago
Why is diagnosis using belief networks insensitive to imprecision in probabilities?
Recent research has found that diagnostic performance with Bayesian belief networks is often surprisingly insensitive to imprecision in the numerical probabilities. For example, t...
Max Henrion, Malcolm Pradhan, Brendan Del Favero, ...
JMLR
2010
115views more  JMLR 2010»
13 years 2 months ago
Bayesian structure discovery in Bayesian networks with less space
Current exact algorithms for score-based structure discovery in Bayesian networks on n nodes run in time and space within a polynomial factor of 2n . For practical use, the space ...
Pekka Parviainen, Mikko Koivisto