447 search results - page 22 / 90 » Explaining inferences in Bayesian networks |
ACIVS
2006
Springer
13 years 11 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...
IPM
2000
13 years 7 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...
AAAI
2007
13 years 10 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...
PERCOM
2011
ACM
12 years 11 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...
NIPS
2007
13 years 9 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...