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» McPOWER: a Monte Carlo approach to power estimation
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NAA
2000
Springer
104views Mathematics» more  NAA 2000»
15 years 1 months ago
A Grid Free Monte Carlo Algorithm for Solving Elliptic Boundary Value Problems
In this work a grid free Monte Carlo algorithm for solving elliptic boundary value problems is investigated. The proposed Monte Carlo approach leads to a random process called a ba...
Todor V. Gurov, Paula A. Whitlock, Ivan Dimov
NIPS
2007
14 years 11 months ago
Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods
Learning in real-world domains often requires to deal with continuous state and action spaces. Although many solutions have been proposed to apply Reinforcement Learning algorithm...
Alessandro Lazaric, Marcello Restelli, Andrea Bona...
BMCBI
2004
177views more  BMCBI 2004»
14 years 9 months ago
Gapped alignment of protein sequence motifs through Monte Carlo optimization of a hidden Markov model
Background: Certain protein families are highly conserved across distantly related organisms and belong to large and functionally diverse superfamilies. The patterns of conservati...
Andrew F. Neuwald, Jun S. Liu
AAAI
2006
14 years 11 months ago
Bayesian Calibration for Monte Carlo Localization
Localization is a fundamental challenge for autonomous robotics. Although accurate and efficient techniques now exist for solving this problem, they require explicit probabilistic...
Armita Kaboli, Michael H. Bowling, Petr Musí...
DATE
2010
IEEE
171views Hardware» more  DATE 2010»
15 years 2 months ago
Digital statistical analysis using VHDL
—Variations of process parameters have an important impact on reliability and yield in deep sub micron IC technologies. One methodology to estimate the influence of these effects...
Manfred Dietrich, Uwe Eichler, Joachim Haase