44 search results - page 4 / 9 » Sequential sampling for solving stochastic programs |
CCE
2006
13 years 7 months ago
2006
The class of stochastic nonlinear programming (SNLP) problems is important in optimization due to the presence of nonlinearity and uncertainty in many applications, including thos...
AAMAS
2010
Springer
13 years 7 months ago
2010
Springer
POMDPs and their decentralized multiagent counterparts, DEC-POMDPs, offer a rich framework for sequential decision making under uncertainty. Their computational complexity, howeve...
MICCAI
2002
Springer
14 years 8 months ago
2002
Springer
The development of Diffusion Tensor MRI has raised hopes in the neuro-science community for in vivo methods to track fiber paths in the white matter. A number of approaches have be...
ASPDAC
2009
ACM
14 years 1 months ago
2009
ACM
— Recent advances in statistical timing analysis (SSTA) achieve great success in computing arrival times under variations by extending sum and maximum operations to random variab...
SIGECOM
2004
ACM
14 years 25 days ago
2004
ACM
In this paper, we combine two approaches to handling uncertainty: we use techniques for finding optimal solutions in the expected sense to solve combinatorial optimization proble...