627 search results - page 32 / 126 » Kolmogorov-Loveland Randomness and Stochasticity |
CDC
2009
IEEE
13 years 10 months ago
2009
IEEE
This paper is concerned with the problem of receding horizon control of discrete-time systems subject to possibly unbounded random noise inputs, while satisfying hard bounds on the...
CIE
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. We prove a uniformly computable version of de Finetti’s theorem on exchangeable sequences of real random variables. In the process, we develop machinery for computably ...
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
We consider the general, widely applicable problem of selecting from n real-valued random variables a subset of size m of those with the highest means, based on as few samples as ...
FSTTCS
2006
Springer
14 years 13 days ago
2006
Springer
Abstract. Stochastic optimization is a leading approach to model optimization problems in which there is uncertainty in the input data, whether from measurement noise or an inabili...
WSC
2008
13 years 11 months ago
2008
We consider discrete stochastic optimization problems where the objective function can only be estimated by a simulation oracle; the oracle is defined only at the discrete points....