11 search results - page 1 / 3 » Approximations of Bayesian Networks through KL Minimisation |
NGC
2000
Springer
13 years 10 months ago
2000
Springer
ICML
2005
IEEE
14 years 11 months ago
2005
IEEE
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
ICCV
2001
IEEE
15 years 24 days ago
2001
IEEE
Robust, real-time tracking of objects from visual data requires probabilistic fusion of multiple visual cues. Previous approaches have either been ad hoc or relied on a Bayesian n...
CMSB
2009
Springer
14 years 5 months ago
2009
Springer
Systems of ordinary differential equations (ODEs) are often used to model the dynamics of complex biological pathways. We construct a discrete state model as a probabilistic appro...
CDC
2009
IEEE
14 years 5 hour ago
2009
IEEE
We consider the problem of selecting a subset of p out of n sensors for the purpose of event detection, in a wireless sensor network (WSN). Occurrence or not of the event of intere...