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All our thinning strategies remove data points one by one, so as to minimize an estimate of the error that results by the removal of a point from the current set of points (this estimate is termed "anticipated error").
They minimize an estimate of the mean-squared error between the clean image and the denoised one based on the noisy data alone.
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The optimal shape is computed by minimizing a robust estimate of the drag coefficient subject to reliability constraint for the lift coefficient.
An optimization strategy is developed that minimizes an estimate of the errors on the parameters while bounding the experimental time.
This is usually done by minimizing either an estimate of generalization error or some other related performance measure.
Therefore, many automated software routines for GMM/SMM estimation do not solve the estimating equations, but instead minimize an objective function (24) (Web Appendix 3).
In the first method, the threshold parameter and the shrinkage parameter are jointly optimized for each channel realization to minimize a Stein unbiased risk estimate (SURE) of the MSE of the MIMO channel estimation.
Specifically, our goal in practice is to choose the subset that minimizes an estimated version of (4).
Based on sets of experimental data collected over a several-month period, unknown model parameters are estimated by minimizing an output error criterion.
Similar to maximum normalized likelihood linear filtering in [45], the parameters of the cross transform can be estimated by minimizing an approximated KL divergence between the distribution of the processed features, p y, and the distribution of clean training features, p Λ.
The main difference between quantile regression and linear regression is that θ is estimated by minimizing an objective function based on a skewed absolute difference between every y i and f (x i, θ), as shown below: where ρ τ (u) is a check function (also called pinball function) with parameter τ which specifies the quantile.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com