447 search results - page 30 / 90 » Explaining inferences in Bayesian networks |
AAAI
2012
11 years 10 months ago
2012
We introduce a new task-independent framework to model top-down overt visual attention based on graphical models for probabilistic inference and reasoning. We describe a Dynamic B...
TROB
2008
13 years 7 months ago
2008
We present a method for inferring the topology of a sensor network given nondiscriminating observations of activity in the monitored region. This is accomplished based on no prior ...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
In many real-world scenarios, it is nearly impossible to collect explicit social network data. In such cases, whole networks must be inferred from underlying observations. Here, w...
CORR
2006
Springer
13 years 7 months ago
2006
Springer
One property of networks that has received comparatively little attention is hierarchy, i.e., the property of having vertices that cluster together in groups, which then join to f...
AAAI
2006
13 years 9 months ago
2006
Object detection using Haar-like features is formulated as a maximum likelihood estimation. Object features are described by an arbitrary Bayesian Network (BN) of Haar-like featur...