30 search results - page 1 / 6 » Belief Update in Bayesian Networks Using Uncertain Evidence |
ICTAI
2006
IEEE
14 years 5 months ago
2006
IEEE
This paper reports our investigation on the problem of belief update in Bayesian networks (BN) using uncertain evidence. We focus on two types of uncertain evidences, virtual evid...
IJAR
2000
13 years 10 months ago
2000
Multiply sectioned Bayesian networks (MSBNs) provide a coherent and flexible formalism for representing uncertain knowledge in large domains. Global consistency among subnets in a...
KI
2010
Springer
13 years 9 months ago
2010
Springer
The key task in probabilistic reasoning is to appropriately update one’s beliefs as one obtains new information in the form of evidence. In many application settings, however, th...
SUM
2009
Springer
14 years 5 months ago
2009
Springer
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
EUSFLAT
2009
13 years 8 months ago
2009
- In Evidence theory, several conditioning rules for updating belief have been proposed, including Dempster's rule of conditioning. The paper views the conditioning rules prop...