137 search results - page 4 / 28 » Compiling relational Bayesian networks for exact inference |
JAIR
2007
13 years 7 months ago
2007
The paper presents a new sampling methodology for Bayesian networks that samples only a subset of variables and applies exact inference to the rest. Cutset sampling is a network s...
UAI
2001
13 years 8 months ago
2001
Many real life domains contain a mixture of discrete and continuous variables and can be modeled as hybrid Bayesian Networks (BNs). An important subclass of hybrid BNs are conditi...
AAAI
2006
13 years 8 months ago
2006
The ability to update the structure of a Bayesian network when new data becomes available is crucial for building adaptive systems. Recent work by Sang, Beame, and Kautz (AAAI 200...
AI
2009
Springer
14 years 2 months ago
2009
Springer
SEMWEB
2005
Springer
14 years 28 days ago
2005
Springer
Probabilistic inference will be of special importance when one needs to know how much we can say with what all we know given new observations. Bayesian Network is a graphical prob...