447 search results - page 22 / 90 » Explaining inferences in Bayesian networks |
163
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ACIVS
2006
Springer
15 years 5 months ago
2006
Springer
Scene understanding is an important problem in intelligent robotics. Since visual information is uncertain due to several reasons, we need a novel method that has robustness to the...
110
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IPM
2000
15 years 1 months ago
2000
In this paper, a competition-based connectionist model for diagnostic problem-solving is adapted to information retrieval. In this model, we treat documents as \disorders" an...
109
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AAAI
2007
15 years 4 months ago
2007
Since Bayesian network (BN) was introduced in the field of artificial intelligence in 1980s, a number of inference algorithms have been developed for probabilistic reasoning. Ho...
117
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PERCOM
2011
ACM
14 years 5 months ago
2011
ACM
—We study inference attacks that can be launched via the extension API of Facebook. We explain the threat of these attacks through a reduction to authentication attacks, devise a...
116
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NIPS
2007
15 years 3 months ago
2007
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...