30 search results - page 2 / 6 » Belief Update in Bayesian Networks Using Uncertain Evidence |
UAI
2003
13 years 9 months ago
2003
Precision achieved by stochastic sampling algorithms for Bayesian networks typically deteriorates in face of extremely unlikely evidence. To address this problem, we propose the E...
UAI
2007
13 years 8 months ago
2007
Bayesian networks (BN) are particularly well suited to capturing vague and uncertain knowledge. However, the capture of this knowledge and associated reasoning from human domain e...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
In many contexts, one is confronted with the problem of extracting information from large amounts of different types soft data (e.g., text) and hard data (from e.g., physics-based...
SQJ
2008
13 years 7 months ago
2008
: As business transitions into the new economy, e-system successful use has become a strategic goal. Especially in business to consumer (e-commerce) applications, users highly eval...
ATAL
2005
Springer
14 years 1 months ago
2005
Springer
State estimation consists of updating an agent’s belief given executed actions and observed evidence to date. In single agent environments, the state estimation can be formalize...