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…

Papers overview

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2013

Combinations of futures and options contracts on milk and feed were simulated to determine their influence on a representative…

2010

For CMOS designs in sub 90nm technologies, statistical methods are necessary to accurately estimate circuit SER considering…

2008

This paper proposes a mixed-integer stochastic programming approach to the solution of generation and transmission line expansion…

2008

Simulation is often used to predict the response of gamma-ray spectrometers in technology viability and comparative studies for…

2007

Machine learning contains many computational bottlenecks in the form of nested summations over datasets. Computation of these…

2005

Gradient Boosting and bagging applied to regressors can reduce the error due to bias and variance respectively. Alternatively…

2003

In this paper, several approaches that can be used to improve biometric authentication applications are proposed. The idea is…

2002

Most manufacturing processes produce parts that can only be correctly measured after the process cycle has been completed. Even…

2000

This paper describes the requirements that quiescent current (IDDQ) testing must meet in order to continue being useful in the…

2000

Four taggers have been trained on a 100,000-word corpus of Brazilian Portuguese, namely Unigram (Treetagger), N-gram (Treetagger…