173 search results - page 15 / 35 » Probabilistic decision graphs for optimization under uncerta... |
APPROX
2005
Springer
14 years 9 days ago
2005
Springer
The field of stochastic optimization studies decision making under uncertainty, when only probabilistic information about the future is available. Finding approximate solutions to...
CVPR
2004
IEEE
14 years 8 months ago
2004
IEEE
This paper explores a formulation for attributed graph matching as an inference problem over a hidden Markov Random Field. We approximate the fully connected model with simpler mo...
AAAI
2004
13 years 8 months ago
2004
Random decision tree is an ensemble of decision trees. The feature at any node of a tree in the ensemble is chosen randomly from remaining features. A chosen discrete feature on a...
NETWORKS
2010
13 years 5 months ago
2010
We consider a probabilistic model for the Steiner Tree problem. Under this model the problem is defined in a 2-stage setting over a first-stage complete weighted graph having it...
FLAIRS
2007
13 years 9 months ago
2007
In attempting to address real-life decision problems, where uncertainty about input data prevails, some kind of representation of imprecise information is important and several ha...