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92
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CIG
2006
IEEE
15 years 5 months 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
119
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FCCM
2008
IEEE
212views VLSI» more  FCCM 2008»
15 years 6 months ago
Map-reduce as a Programming Model for Custom Computing Machines
The map-reduce model requires users to express their problem in terms of a map function that processes single records in a stream, and a reduce function that merges all mapped out...
Jackson H. C. Yeung, C. C. Tsang, Kuen Hung Tsoi, ...
KES
2000
Springer
15 years 3 months ago
On AIE-ASM: a software to simulate artificial stock markets with genetic programming
Agent-based computational economic modeling requires demanding work on computer programming. Usually, the publications as outcomes of running these programs do not provide readers ...
Shu-Heng Chen, Chung-Chih Liao, Chia-Hsuan Yeh
CAINE
2003
15 years 1 months ago
Development of a Computational Toolkit for Biomechanical Analysis and Simulation: The Vertebrate Analyzer
This paper discusses the development of a computational modeling and analysis toolkit to construct, animate, and biomechanically analyze sophisticated models of vertebrates. Users...
K. F. Hulme, F. C. Mendel, K. P. Chugh
111
Voted
IPPS
2008
IEEE
15 years 6 months ago
Reducing the run-time of MCMC programs by multithreading on SMP architectures
The increasing availability of multi-core and multiprocessor architectures provides new opportunities for improving the performance of many computer simulations. Markov Chain Mont...
Jonathan M. R. Byrd, Stephen A. Jarvis, A. H. Bhal...