7 search results - page 1 / 2 » Exact Inference in Networks with Discrete Children of Contin... |
UAI
2001
13 years 6 months ago
2001
Many real life domains contain a mixture of discrete and continuous variables and can be modeled as hybrid Bayesian Networks (BNs). An important subclass of hybrid BNs are conditi...
IJAR
2006
13 years 4 months ago
2006
Mixtures of truncated exponentials (MTE) potentials are an alternative to discretization for solving hybrid Bayesian networks. Any probability density function can be approximated...
UAI
1998
13 years 5 months ago
1998
We study two-layer belief networks of binary random variables in which the conditional probabilities Pr childjparents depend monotonically on weighted sums of the parents. In larg...
ICCV
2001
IEEE
14 years 6 months 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...
ISBI
2011
IEEE
12 years 8 months ago
2011
IEEE
It is known that the brain network has small-world and scalefree topology, but the network structures drastically change depending on how to threshold a connectivity matrix. The e...