Sentence examples for whose classifications from inspiring English sources

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 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 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).

The Sunday tornado — whose classification was upgraded by the National Weather Service on Tuesday to the most severe level, with winds exceeding 200 miles per hour — was the deadliest in a season in which twisters have killed more than 480 people.

September 22 ,1800 Stoke, England September 10, 1884 London, England George Bentham, (born Sept. 22, 1800, Stoke, Devon, Eng. died Sept. 10, 1884, London), British botanist whose classification of seed plants (Spermatophyta), based on an exhaustive study of all known species, served as a foundation for modern systems of vascular plant taxonomy.

No one would argue with a phylogeneticist whose classification contained only monophyletic groups found in his phylogenetic tree.

For Category (D) we deal with initial value problems, whose classification of solutions is made by the sign of b ( 1 ).

Perhaps the most sophisticated approach of this kind was that of Elias and Purcell (2004a, 2004b), whose classification distinguished between different kinds of graduate jobs.

Firstly, we incorporate a synthesis-linear-classifier-based error term into the basic analysis dictionary learning model, whose classification performance is obviously improved by making full use of the label information.