24 search results - page 4 / 5 » Approximation of Event Probabilities in Noisy Cellular Proce... |
CORR
2012
Springer
12 years 1 months ago
2012
Springer
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
ATAL
2008
Springer
13 years 8 months ago
2008
Springer
The ability for an agent to reason under uncertainty is crucial for many planning applications, since an agent rarely has access to complete, error-free information about its envi...
ROBOCOMM
2007
IEEE
14 years 15 days ago
2007
IEEE
— Consider the following scenario: a spatio-temporal stochastic process generates service requests, localized at points in a bounded region on the plane; these service requests a...
IJCAI
2007
13 years 7 months ago
2007
We present a general machine learning framework for modelling the phenomenon of missing information in data. We propose a masking process model to capture the stochastic nature of...
INFOCOM
2002
IEEE
13 years 11 months ago
2002
IEEE
—This paper utilizes belief networks to implement fault localization in communication systems taking into account comprehensive information about the system behavior. Most previo...