150 search results - page 4 / 30 » Modelling Multiagent Bayesian Networks with Inclusion Depend... |
ETFA
2006
IEEE
14 years 8 days ago
2006
IEEE
Multiplysectioned Bayesian networks provide a probabilistic framework for reasoning about uncertain domains in cooperative multiagent systems. Several advances have been made in r...
GLOBECOM
2010
IEEE
13 years 4 months ago
2010
IEEE
There are many key problems of decision making related to spectrum occupancies in cognitive radio networks. It is known that there exist correlations of spectrum occupancies in tim...
IWINAC
2007
Springer
14 years 11 days ago
2007
Springer
One of the key points in Estimation of Distribution Algorithms (EDAs) is the learning of the probabilistic graphical model used to guide the search: the richer the model the more ...
RECOMB
2003
Springer
14 years 6 months ago
2003
Springer
The availability of whole genome sequences and high-throughput genomic assays opens the door for in silico analysis of transcription regulation. This includes methods for discover...
IJAR
2008
13 years 6 months ago
2008
Cooperative multiagent probabilistic inference can be applied in areas such as building surveillance and complex system diagnosis to reason about the states of the distributed unc...