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Variance reduction
Known as:
Reduction
In mathematics, more specifically in the theory of Monte Carlo methods, variance reduction is a procedure used to increase the precision of the…
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Related topics
Related topics
10 relations
Antithetic variates
Control variates
Importance sampling
List of numerical analysis topics
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Papers overview
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2010
2010
Accurate statistical soft error rate (SSER) analysis using a quasi-Monte Carlo framework with quality cell models
Yu-Hsin Kuo
,
Huan-Kai Peng
,
Charles H.-P. Wen
IEEE International Symposium on Quality…
2010
Corpus ID: 16048120
For CMOS designs in sub 90nm technologies, statistical methods are necessary to accurately estimate circuit SER considering…
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Highly Cited
2008
Highly Cited
2008
Robust filtering for uncertain linear discrete-time descriptor systems
C. E. Souza
,
Karina A. Barbosa
,
M. Fu
at - Automatisierungstechnik
2008
Corpus ID: 10678276
2008
2008
Reliability Constrained Multi-Area Adequacy Planning Using Stochastic Programming With Sample-Average Approximations
P. Jirutitijaroen
,
C. Singh
IEEE Transactions on Power Systems
2008
Corpus ID: 47547897
This paper proposes a mixed-integer stochastic programming approach to the solution of generation and transmission line expansion…
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2008
2008
Coupling Deterministic and Monte Carlo Transport Methods for the Simulation of Gamma-Ray Spectroscopy Scenarios
L. Smith
,
C. Gesh
,
+11 authors
T. Wareing
IEEE Transactions on Nuclear Science
2008
Corpus ID: 5924799
Simulation is often used to predict the response of gamma-ray spectrometers in technology viability and comparative studies for…
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2007
2007
A high-order photon Monte Carlo method for radiative transfer in direct numerical simulation
Yuhui Wu
,
M. Modest
,
D. Haworth
Journal of Computational Physics
2007
Corpus ID: 35673774
2007
2007
Ultrafast Monte Carlo for Statistical Summations
Michael P. Holmes
,
Alexander G. Gray
,
C. Isbell
Neural Information Processing Systems
2007
Corpus ID: 9399029
Machine learning contains many computational bottlenecks in the form of nested summations over datasets. Computation of these…
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2005
2005
Design of microresonators under uncertainty
A. Mawardi
,
R. Pitchumani
Journal of microelectromechanical systems
2005
Corpus ID: 42516272
A methodology for robust design analysis of microelectromechanical systems is presented by considering the example of comb…
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2005
2005
Automation is a breeze with AutoIt
Jason Brand
,
J. Balvanz
Conference on User Services
2005
Corpus ID: 31080336
AutoIt is a free scripting language for Microsoft Windows that simulates Windows commands, mouse movements, and mouse-clicks…
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2005
2005
Combining Bias and Variance Reduction Techniques for Regression Trees
Yuk Lai Suen
,
Prem Melville
,
R. Mooney
European Conference on Machine Learning
2005
Corpus ID: 12971876
Gradient Boosting and bagging applied to regressors can reduce the error due to bias and variance respectively. Alternatively…
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2000
2000
Combining Multiple Classifiers to Improve Part of Speech Tagging : A Case Study for Brazilian Portuguese
R. Aires
,
S. Aluísio
,
D. Kuhn
,
B. MarcioL.
,
Andreeta
,
O. N. Oliveira
2000
Corpus ID: 14144835
Four taggers have been trained on a 100,000-word corpus of Brazilian Portuguese, namely Unigram (Treetagger), N-gram (Treetagger…
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