Sentence examples for derived error from inspiring English sources

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This suggests that our derived error estimates do not depend explicitly on ε as predicted by Theorem 3.3.

Figure 5 Comparison of PER performance between Monte Carlo simulation and the derived error probability for B = 128.

The probable reason behind unlike outcomes of different linearized forms of one equation may be the variation in derived error functions.

It can be seen that the derived error probability matches simulation results for 4-PIM and 8-PIM, while for 2-PIM there is a slight difference for large.

In this paper, to solve the optimization problem of completely trained boosted cascade detector on false-classified instances, we propose a new base hypothesis weight optimization algorithm called DOOMRED (Direct Optimization Of Margin for Rare Event Detection) using a mathematically derived error upper bound of boosting algorithms.

The derived error estimator still involves an uncomputable term involving dual errors, which is removed by further simplification into a term on the feature's boundary, via an exterior solution in linear cases or problem-specific approaches in nonlinear cases, utilizing classical theories of differential operators.

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For illustrating the applications of the Ostrowski-Grüss type inequalities established, we apply them to derive error bounds for some numerical integration formulae.

We investigate the stability and derive error estimates for the methods and further experimentally study their performance on a representative number of numerical examples.

We demonstrate GemSIM's value by deriving error models from two different Illumina sequencing runs and one Roche/454 run, and comparing and contrasting the resulting error profiles of each run.

In contrast to these methods, we suggest that the use of ORPs to derive error profiles is easily extendible to a genome of any size without the use of a cloned sample.

Black error bars indicate estimated statistical errors derived by Gaussian error propagation when assuming a statistical accuracy of 5%% for blood SUVs and 2 % for the tumor SUVs.

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