15 search results - page 2 / 3 » Efficient approximate inference in distributed Bayesian netw... |
UAI
2008
13 years 6 months ago
2008
Graphical models are usually learned without regard to the cost of doing inference with them. As a result, even if a good model is learned, it may perform poorly at prediction, be...
TNN
1998
13 years 4 months ago
1998
Abstract—It is well known that for finite-sized networks, onestep retrieval in the autoassociative Willshaw net is a suboptimal way to extract the information stored in the syna...
DEBS
2007
ACM
13 years 8 months ago
2007
ACM
Emerging sensor network technologies are expected to substantially augment applications such as environmental monitoring, health-care, and home/commercial automation. However, muc...
EWSN
2004
Springer
14 years 4 months ago
2004
Springer
Wireless sensor networks typically consist of a large number of sensor nodes embedded in a physical space. Such sensors are low-power devices that are primarily used for monitoring...
UAI
2001
13 years 6 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...