228 search results - page 5 / 46 » Large Deviation Methods for Approximate Probabilistic Infere... |
SIAMJO
2008
13 years 7 months ago
2008
We study approximations of optimization problems with probabilistic constraints in which the original distribution of the underlying random vector is replaced with an empirical dis...
ECAI
2010
Springer
13 years 8 months ago
2010
Springer
Abstract. There is currently a large interest in relational probabilistic models. While the concept of context-specific independence (CSI) has been well-studied for models such as ...
SIAMJO
2002
13 years 7 months ago
2002
In this paper we study a Monte Carlo simulation based approach to stochastic discrete optimization problems. The basic idea of such methods is that a random sample is generated and...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
Point estimates of the parameters in real world models convey valuable information about the actual system. However, parameter comparisons and/or statistical inference requires de...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
The general stochastic optimal control (SOC) problem in robotics scenarios is often too complex to be solved exactly and in near real time. A classical approximate solution is to ...