68 search results - page 4 / 14 » On the Complexity of Probabilistic Inference in Singly Conne... |
167
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IJPRAI
2000
15 years 5 months ago
2000
As Bayesian networks become widely accepted as a normative formalism for diagnosis based on probabilistic knowledge, they are applied to increasingly larger problem domains. These...
178
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ICCV
2001
IEEE
16 years 7 months ago
2001
IEEE
Robust, real-time tracking of objects from visual data requires probabilistic fusion of multiple visual cues. Previous approaches have either been ad hoc or relied on a Bayesian n...
189
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AI
2010
Springer
15 years 5 months ago
2010
Springer
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
169
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CCS
2009
ACM
15 years 9 months ago
2009
ACM
This work casts the traffic analysis of anonymity systems, and in particular mix networks, in the context of Bayesian inference. A generative probabilistic model of mix network ar...
139
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UAI
2003
15 years 7 months ago
2003
The paper studies empirically the time-space trade-off between sampling and inference in the cutset sampling algorithm. The algorithm samples over a subset of nodes in a Bayesian ...