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» Monte Carlo simulation approach to stochastic programming
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ICPR
2008
IEEE
15 years 10 months ago
An adaptive Monte Carlo approach to nonlinear image denoising
This paper introduces a novel stochastic approach to image denoising using an adaptive Monte Carlo scheme. Random samples are generated from the image field using a spatially-adap...
Alexander Wong, Akshaya Kumar Mishra, Paul W. Fieg...
CG
2006
Springer
15 years 1 months ago
A Skat Player Based on Monte-Carlo Simulation
We apply Monte Carlo simulation and alpha-beta search to the card game of Skat, which is similar to Bridge, but different enough to require some new algorithmic ideas besides the t...
Sebastian Kupferschmid, Malte Helmert
80
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CG
2010
Springer
14 years 7 months ago
Monte-Carlo Simulation Balancing in Practice
Simulation balancing is a new technique to tune parameters of a playout policy for a Monte-Carlo game-playing program. So far, this algorithm had only been tested in a very artific...
Shih-Chieh Huang, Rémi Coulom, Shun-Shii Li...
ACG
2006
Springer
15 years 3 months ago
A Phantom-Go Program
Abstract. This paper presents a Phantom Go program. It is based on a MonteCarlo approach. The program plays Phantom Go at an intermediate level.
Tristan Cazenave
WSC
2004
14 years 11 months ago
Quasi-Monte Carlo Methods in Finance
We review the basic principles of Quasi-Monte Carlo (QMC) methods, the randomizations that turn them into variancereduction techniques, and the main classes of constructions under...
Pierre L'Ecuyer