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» Introduction to Monte Carlo simulation
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196
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TCIAIG
2010
14 years 10 months ago
Monte Carlo Tree Search in Hex
Hex, the classic board game invented by Piet Hein in 1942 and independently by John Nash in 1948, has been a domain of artificial intelligence research since Claude Shannon's ...
Broderick Arneson, Ryan B. Hayward, Philip Henders...
ICC
2009
IEEE
116views Communications» more  ICC 2009»
15 years 10 months ago
Markov Chain Monte Carlo Detection Methods for High SNR Regimes
—Statistical detectors that are based on Markov chain Monte Carlo (MCMC) simulators have emerged as promising low-complexity solutions to both multiple-input multipleoutput (MIMO...
Salam Akoum, Ronghui Peng, Rong-Rong Chen, Behrouz...
122
Voted
FPL
2008
Springer
153views Hardware» more  FPL 2008»
15 years 5 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
ICRA
2008
IEEE
112views Robotics» more  ICRA 2008»
15 years 10 months ago
Negative information and line observations for Monte Carlo localization
— Localization is a very important problem in robotics and is critical to many tasks performed on a mobile robot. In order to localize well in environments with few landmarks, a ...
Todd Hester, Peter Stone
112
Voted
ISVC
2009
Springer
15 years 10 months ago
Multi-target and Multi-camera Object Detection with Monte-Carlo Sampling
In this paper, we propose a general-purpose methodology for detecting multiple objects with known visual models from multiple views. The proposed method is based Monte-Carlo sampli...
Giorgio Panin, Sebastian Klose, Alois Knoll