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» Monte Carlo simulation approach to stochastic programming
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AAAI
2006
14 years 11 months ago
Monte Carlo Go Has a Way to Go
Monte Carlo Go is a promising method to improve the performance of computer Go programs. This approach determines the next move to play based on many Monte Carlo samples. This pap...
Haruhiro Yoshimoto, Kazuki Yoshizoe, Tomoyuki Kane...
CVPR
2010
IEEE
13 years 6 months ago
Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling
Robust tracking of abrupt motion is a challenging task in computer vision due to the large motion uncertainty. In this paper, we propose a stochastic approximation Monte Carlo (...
Xiuzhuang Zhou and Yao Lu
WSC
2004
14 years 11 months ago
On Using Monte Carlo Methods for Scheduling
Monte Carlo techniques have long been used (since Buffon's experiment to approximate the value of by tossing a needle onto striped paper) to analyze phenomena which, due to ...
Samarn Chantaravarapan, Ali K. Gunal, Edward J. Wi...
CG
2010
Springer
14 years 7 months ago
Biasing Monte-Carlo Simulations through RAVE Values
Abstract. The Monte-Carlo Tree Search algorithm has been successfully applied in various domains. However, its performance heavily depends on the Monte-Carlo part. In this paper, w...
Arpad Rimmel, Fabien Teytaud, Olivier Teytaud
WSC
2004
14 years 11 months ago
A Unified Approach for Finite-Dimensional, Rare-Event Monte Carlo Simulation
We consider the problem of estimating the small probability that a function of a finite number of random variables exceeds a large threshold. Each input random variable may be lig...
Zhi Huang, Perwez Shahabuddin