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The proposed model offers considerable improvement by reducing the variance associated with degradation of a specific unit, which leads to more realistic estimates of risk.
It is well known that the accuracy of importance sampling can be improved by reducing the variance of its sample mean and therefore variance reduction schemes have been the subject of much research.
In this section, we showed that the MLE can be diminished by reducing the variance of links between one-hop neighbors through extensive simulations.
This multiple-pool strategy optimizes the power of the analysis by reducing the variance of each source of experimental error [23].
This has the effect of avoid over-fitting by reducing the variance of the estimator, at the cost of introducing a bias.
Bagging is a popular method to estimate models with improved prediction performance by reducing the variance of a single weak prediction model by aggregating the predictions of several weak models that were fitted on bootstrap samples.
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This is illustrated by reducing the variances of the 6 examined traits along two major principal components (figure 3).
Holsgrove, however, points out that the reliability of an assessment can be improved not only by reducing the error variance, but that one "can also take steps to increase subject variance" [ 4].
In randomized experiments, control variables increase the power to detect treatment effects by reducing the residual variance.
The discriminative information is extracted from the source by maximizing the similarity (reducing the variance) of infra-class samples while minimizing the similarities (maximizing the variance) of inter-class samples to create a more discriminative space.
In addition to reducing the variance by model averaging, another motivation of TAGGING was to alleviate bias in prediction.
More suggestions(17)
by lowering the variance
by reducing the deflection
by reducing the disparity
by reducing the variation
by reducing the variability
by reducing the gap
by reducing the differentiation
by reducing the variables
by reducing the variations
by preserving the variance
by reducing the scale
by reducing the flow
by reducing the likelihood
by reducing the uncertainty
by reducing the productivity
by reducing the issue
by measuring the variance
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com