447 search results - page 23 / 90 » Explaining inferences in Bayesian networks |
133
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ICPR
2002
IEEE
16 years 3 months ago
2002
IEEE
Bayesian networks are an attractive modeling tool for human sensing, as they combine an intuitive graphical representation with ef?cient algorithms for inference and learning. Ear...
126
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ICCV
1999
IEEE
16 years 3 months ago
1999
IEEE
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and synthesizing figure motion has employed eit...
98
Voted
ICTAI
2006
IEEE
15 years 8 months ago
2006
IEEE
Bayesian networks (BNs) have been widely used as a model for knowledge representation and probabilistic inferences. However, the single probability representation of conditional d...
95
Voted
AAAI
1998
15 years 3 months ago
1998
We present a noisy-OR Bayesian network model for simulation-based training, and an efficient search-based algorithm for automatic synthesis of plausible training scenarios from co...
127
Voted
CCS
2009
ACM
15 years 5 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...