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SIAMSC
2010
130views more  SIAMSC 2010»
15 years 22 days ago
Quasi-Monte Carlo Method for Infinitely Divisible Random Vectors via Series Representations
Infinitely divisible random vector without Gaussian component admits representations of shot noise series. Due to possible slow convergence of the series, they have not been inves...
Junichi Imai, Reiichiro Kawai
CIG
2006
IEEE
16 years 1 days ago
Monte-Carlo Go Reinforcement Learning Experiments
Abstract— This paper describes experiments using reinforcement learning techniques to compute pattern urgencies used during simulations performed in a Monte-Carlo Go architecture...
Bruno Bouzy, Guillaume Chaslot
ACG
2009
Springer
16 years 18 days ago
Adding Expert Knowledge and Exploration in Monte-Carlo Tree Search
Abstract. We present a new exploration term, more efficient than classical UCT-like exploration terms. It combines efficiently expert rules, patterns extracted from datasets, All-M...
Guillaume Chaslot, Christophe Fiter, Jean-Baptiste...
FPL
2008
Springer
153views Hardware» more  FPL 2008»
15 years 7 months ago
FPGA acceleration of quasi-Monte Carlo in finance
Today, quasi-Monte Carlo (QMC) methods are widely used in finance to price derivative securities. The QMC approach is popular because for many types of derivatives it yields an es...
Nathan A. Woods, Tom VanCourt
WSC
2008
15 years 8 months ago
An application of parallel Monte Carlo modeling for real-time disease surveillance
The global health, threatened by emerging infectious diseases, pandemic influenza, and biological warfare, is becoming increasingly dependent on the rapid acquisition, processing,...
David W. Bauer, Mojdeh Mohtashemi