Sentence examples for whose classification from inspiring English sources

Exact(41)

Realistically, how well can you evaluate an algorithm when the original data contains so many people whose classification is unknown?

At Princeton University she worked under Henry Norris Russell, whose classification of stars by brightness and spectral type became standard throughout the world.

The GATT Digital Library includes an extensive collection of documents whose classification have been derestricted by the GATT or WTO and are now available to the public.

Where the US is strong is in the number of fast competitors they have whose classification is 2.0 – they will be one of the teams to beat in London.

Joseph Hilarius Eckhel, (born Jan . 13 , 1737Enzersfeld, Austria died May 16, 1798, Vienna), Austrian numismatist whose classification of coins by region, chronology, and type became the model and standard for later systems.

Melvil Dewey was a serial sexual harasser whose classification system reflected the racism and homophobia, along with other biases, that were common in the dominant culture at the time of its invention in 1876.

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Similar(19)

The results from one physician (general practitioner #1) whose classifications for ischemia were systematically shifted in concentration towards grades 2 4 (central grade categories) are shown in Table 2A.

The results for another physician (general practitioner #8) whose classifications were systematically shifted in concentration towards grades 1 and 5 are shown in Table 2A.

The misclassification rate here is defined as the proportion of patients whose classifications do not match their known phenotypes.

Those sequences in the confirmation set C whose classifications are confirmed in the new round are patched back to the consensus families (of the first round).

To reduce the size of the initial consensus catalogue, as well as to improve its statistical strength, we sequentially increased the classification threshold, excluding those genes whose classifications have higher probabilities of being false positives (see Methods).

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