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» Stochastic modeling of airlift operations
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ACL
2011
12 years 11 months ago
Learning to Win by Reading Manuals in a Monte-Carlo Framework
This paper presents a novel approach for leveraging automatically extracted textual knowledge to improve the performance of control applications such as games. Our ultimate goal i...
S. R. K. Branavan, David Silver, Regina Barzilay
TSP
2008
118views more  TSP 2008»
13 years 7 months ago
Analytical Rate-Distortion-Complexity Modeling of Wavelet-Based Video Coders
Analytical modeling of the performance of video coders is essential in a variety of applications, such as power-constrained processing, complexity-driven video streaming, etc., whe...
Brian Foo, Yiannis Andreopoulos, Mihaela van der S...
ICC
1997
IEEE
108views Communications» more  ICC 1997»
13 years 12 months ago
Overflow Probability in an ATM Queue with Self-Similar Input Traffic
Real measurements in high-speed communications networks have recently shown that traffic may demonstrate properties of long-range dependency peculiar to self-similar stochastic pr...
Boris Tsybakov, Nicolas D. Georganas
AUTOMATICA
2006
152views more  AUTOMATICA 2006»
13 years 7 months ago
Simulation-based optimization of process control policies for inventory management in supply chains
A simulation-based optimization framework involving simultaneous perturbation stochastic approximation (SPSA) is presented as a means for optimally specifying parameters of intern...
Jay D. Schwartz, Wenlin Wang, Daniel E. Rivera
WSC
2008
13 years 10 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