50 search results - page 2 / 10 » A Hybrid Approach for Learning Parameters of Probabilistic N... |
UAI
1996
13 years 7 months ago
1996
In this paper we propose a family of algorithms combining treeclustering with conditioning that trade space for time. Such algorithms are useful for reasoning in probabilistic and...
ECCV
2008
Springer
14 years 7 months ago
2008
Springer
Probabilistic graphical models such as Bayesian Networks have been increasingly applied to many computer vision problems. Accuracy of inferences in such models depends on the quali...
JMLR
2006
13 years 6 months ago
2006
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
UAI
1998
13 years 7 months ago
1998
In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...
ICDE
2009
IEEE
14 years 7 months ago
2009
IEEE
Abstract-- Recent innovations in RFID technology are enabling large-scale cost-effective deployments in retail, healthcare, pharmaceuticals and supply chain management. The advent ...