604 search results - page 44 / 121 » Stochastic Offline Programming |
126
Voted
DAGSTUHL
2007
15 years 4 months ago
2007
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
130
Voted
ARC
2007
Springer
15 years 2 months ago
2007
Springer
: The parity space approach to fault detection and isolation (FDI) has been developed during the last twenty years, and the focus here is to describe its application to stochastic ...
216
Voted
POPL
2002
ACM
16 years 3 months ago
2002
ACM
Probability distributions are useful for expressing the meanings of probabilistic languages, which support formal modeling of and reasoning about uncertainty. Probability distribu...
118
Voted
UAI
2008
15 years 4 months ago
2008
Bounded policy iteration is an approach to solving infinitehorizon POMDPs that represents policies as stochastic finitestate controllers and iteratively improves a controller by a...
99
Voted
WSC
1998
15 years 4 months ago
1998
Bayesian forecasting models provide distributional estimates for random parameters, and relative to classical schemes, have the advantage that they can rapidly capture changes in ...