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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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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2010
2010
For CMOS designs in sub 90nm technologies, statistical methods are necessary to accurately estimate circuit SER considering… 
Highly Cited
2008
Highly Cited
2008
2008
2008
This paper proposes a mixed-integer stochastic programming approach to the solution of generation and transmission line expansion… 
2008
2008
Simulation is often used to predict the response of gamma-ray spectrometers in technology viability and comparative studies for… 
2007
2007
Machine learning contains many computational bottlenecks in the form of nested summations over datasets. Computation of these… 
2005
2005
A methodology for robust design analysis of microelectromechanical systems is presented by considering the example of comb… 
2005
2005
AutoIt is a free scripting language for Microsoft Windows that simulates Windows commands, mouse movements, and mouse-clicks… 
2005
2005
Gradient Boosting and bagging applied to regressors can reduce the error due to bias and variance respectively. Alternatively… 
2000
2000
Four taggers have been trained on a 100,000-word corpus of Brazilian Portuguese, namely Unigram (Treetagger), N-gram (Treetagger…