Sentence examples for examples we estimate from inspiring English sources

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As examples, we estimate the ID errors for the one-group 28-slot tag and Barker encoding.

Meteorological conditions measured by radiosonde are shown in Fig. 4. For the Eyjafjallajökull examples, we estimate the model discrepancy to be Var(𝜖 m d )=500 m due primarily to uncertainty in the atmospheric observations.

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In oil and gas, for example, we estimate that the shale boom could reduce America's net energy import bill to zero and raise G.D.P. by $690 billion by 2020 while generating 1.7 million jobs.

"For example, we estimate the city will need 500 additional bed spaces - or five hotels offering 100 beds each - on top of our current complement of 1,250".

In retail banking, for example, we estimate that almost half of most banks’ critical functions will be deprived of talent (Exhibit 1).

For example, we estimate that approximately 1% of the α particles emitted within a snus pouch (i.e. those emitted near the periphery of the portion) would be capable of travelling far enough to exit the snus matrix.

A discussion of the distribution of T r is in Section 3.1; for this example, we estimate the p-value for T r by permutation test on the observation vertex labels.

As an example, we estimate that about 10 million chemical syntheses per year are published in the public literature (articles, patents, theses) and the conventional method is a natural language narrative (most commonly in English).

First, instead of estimating one linear transform for each class (as maximum likelihood linear regression (MLLR) does, for example) we estimate multiple linear transforms per class of models and a transform weights vector which is specific to each component (Gaussians in our case).

For example, we estimate that to break into the mass market the memory capacity of tags must be at least 128 bits, which corresponds to the quantity of information necessary to implement an Electronic Product Code (EPC), the global standard of reference.

For example, we estimate pathway activity by calculating the mean expression value observed in a sample, while GSEA focuses on the differential expression values observed at the gene level.

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