521 search results - page 8 / 105 » Approximation Algorithms for Stochastic Inventory Control Mo... |
CDC
2008
IEEE
14 years 1 months ago
2008
IEEE
— This paper addresses the computational overhead involved in probabilistic reachability computations for a general class of controlled stochastic hybrid systems. An approximate ...
CDC
2010
IEEE
13 years 2 months ago
2010
IEEE
This paper is concerned with developing an information-theoretic framework to aggregate the state space of a Hidden Markov Model (HMM) on discrete state and observation spaces. The...
SAGA
2009
Springer
14 years 1 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...
EMO
2009
Springer
14 years 1 months ago
2009
Springer
To model combinatorial decision problems involving uncertainty and probability, we introduce stochastic constraint programming. Stochastic constraint programs contain both decision...
SARA
2007
Springer
14 years 1 months ago
2007
Springer
Most algorithms for computing diagnoses within a modelbased diagnosis framework are deterministic. Such algorithms guarantee soundness and completeness, but are NPhard. To overcom...