447 search results - page 15 / 90 » Explaining inferences in Bayesian networks |
UAI
2001
13 years 9 months ago
2001
This paper presents a new deterministic approximation technique in Bayesian networks. This method, "Expectation Propagation," unifies two previous techniques: assumed-de...
SEMWEB
2005
Springer
14 years 1 months 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...
IJCAI
2003
13 years 9 months ago
2003
Recursive Conditioning, RC, is an any-space algorithm lor exact inference in Bayesian networks, which can trade space for time in increments of the size of a floating point number...
GLOBECOM
2010
IEEE
13 years 5 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...
ECAI
2008
Springer
13 years 9 months ago
2008
Springer
Abstract. Two approaches have been used to perform approximate inference in Bayesian networks for which exact inference is infeasible: employing an approximation algorithm, or appr...