3694 search results - page 18 / 739 » Stochastic complexity in learning |
NIPS
2007
13 years 9 months ago
2007
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
UAI
1998
13 years 8 months ago
1998
The monitoring and control of any dynamic system depends crucially on the ability to reason about its current status and its future trajectory. In the case of a stochastic system,...
SAGA
2009
Springer
14 years 2 months ago
2009
Springer
Stochastic programming problems appear as mathematical models for optimization problems under stochastic uncertainty. Most computational approaches for solving such models are base...
STACS
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Merkle et al. [13] showed that all Kolmogorov-Loveland stochas
ICALP
2005
Springer
14 years 1 months ago
2005
Springer