Sentence examples for classification by subject from inspiring English sources

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Figure 9 Correct gender classification by subject.

Diderot and D'Alembert, in contrast with Leibniz, made classification by subject the primary focus, and introduced cross-references instead of logical connections.

In addition to classification by subject and sub-subject, every faculty can create their own classification system in the IMS to classify tasks according to their specific learning targets.

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In order to corroborate this classification by subject-matter, we also used objective parameters by examining the monthly distribution of papers containing specific terms.

The Peabody Library records include: correspondence, professional diaries, financial documents, accession records, catalogues of the library's collection, order books related to vendors, record books of works organized by subject classifications, exhibition labels and some exhibition planning files, administrative reports, notes, loan records, and miscellaneous material.

Finally we linked the GPS-based time-activity classification with the PB-PAH exposures by subject, and date and time of the measurements.

4) A suggestion: to the extent that classification performance is suffering due to a lack of training data, we have sometimes found in my lab that we can improve classification by using a "leave one subject out" approach (i.e., train on all but one subject, test on the left-out subject).

After each classification the subject confirmed, again by pressing a button, whether the response had been correct or incorrect.

The project also has the important aim of organizing references by subject using an entirely new subject classification designed specifically for organizing works about evolution.

The Venn diagram in Figure 10 showing the classification of subjects by each test also helps with the interpretation of the ROC curves.

A simulation study was conducted to explore whether systematic change in reliability, expressed as changed random error, could be assessed using unsupervised classification of subjects by cluster analysis (CA) and estimation of intraclass correlation coefficient (ICC).

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