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» Computational complexity of stochastic programming problems
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CORR
2007
Springer
169views Education» more  CORR 2007»
13 years 11 months ago
Algorithmic Complexity Bounds on Future Prediction Errors
We bound the future loss when predicting any (computably) stochastic sequence online. Solomonoff finitely bounded the total deviation of his universal predictor M from the true d...
Alexey V. Chernov, Marcus Hutter, Jürgen Schm...
WSC
2008
14 years 1 months ago
Approximate dynamic programming: Lessons from the field
Approximate dynamic programming is emerging as a powerful tool for certain classes of multistage stochastic, dynamic problems that arise in operations research. It has been applie...
Warren B. Powell
ICDCS
2002
IEEE
14 years 3 months ago
The Complexity of Adding Failsafe Fault-Tolerance
In this paper, we focus our attention on the problem of automating the addition of failsafe fault-tolerance where fault-tolerance is added to an existing (fault-intolerant) progra...
Sandeep S. Kulkarni, Ali Ebnenasir
ICTAI
2005
IEEE
14 years 4 months ago
Reachability Analysis for Uncertain SSPs
Stochastic Shortest Path problems (SSPs) can be efficiently dealt with by the Real-Time Dynamic Programming algorithm (RTDP). Yet, RTDP requires that a goal state is always reach...
Olivier Buffet
DAGSTUHL
2006
14 years 9 days ago
On Complexity of Optimized Crossover for Binary Representations
We consider the computational complexity of producing the best possible offspring in a crossover, given two solutions of the parents. The crossover operators are studied on the cla...
Anton V. Eremeev