204 search results - page 25 / 41 » Proposition-valued random variables as information |
MCS
2005
Springer
14 years 1 months ago
2005
Springer
This paper describes a unified approach, based on Gaussian Processes, for achieving sensor fusion under the problematic conditions of missing channels and noisy labels. Under the ...
CP
1995
Springer
13 years 11 months ago
1995
Springer
We present a new heuristic approach for maximal constraint satisfaction of overconstrained problems (MAX-CSP). This approach is based on a formulation of CSP as an optimization pro...
UAI
2004
13 years 8 months ago
2004
A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
IOR
2002
13 years 7 months ago
2002
In this study, an adaptive Bayesian decision model is developed to determine the optimal replacement age for the systems maintained according to a general age replacement policy. I...
MICCAI
2010
Springer
13 years 6 months ago
2010
Springer
We present a new non-parametric model constraint graph min-cut algorithm for automatic kidney segmentation in CT images. The segmentation is formulated as a maximum a-posteriori es...