Sentence examples for proper classifying from inspiring English sources

Accurate prediction of linear B-cell epitopes requires effective features encoding, features selection and proper classifying methods.

The equation of 'I-language' with 'individualistic' is not clear at first, since some approaches that it would be proper to classify on the E-language side of Chomsky's contrast Quine's, for example—are concerned with an individual's overt behaviour.

As the main conclusion of this research, it can be said that counting particles instead of weighing particles on a specific leaf area seems to be a proper way to classify aerosol deposition on vegetation.

Drugs obtained from the medical store by the patient without a proper prescription were classified as self-medication.

The self-appointed pressure groups that claim to be the custodians of rural Britain take a very dim view of anything that can't be classified as "proper" countryside.

The total number fragments mapped with unambiguous mapping (1 hit per read) were 14 M for each sample; out of these, 7 M were classified as proper pairs.

After ambiguous mapping (allowing for multi-hits) with Tophat [ 17] a total of 20 M reads for each sample were mapped against the reference pig genome (assembly 9), although only 10 M were classified as proper pairs.

As is common in most systems of automated sound recognition, these issues translate to: (1) choosing appropriate signal characteristics and sound features that are most informative about the instrument class; (2) determining the relevant temporal context (e.g., choice of windowed analysis of the signal); and (3) adopting the proper statistical representation for correctly classifying the data.

"But they are doing it in a way that leaves behind the proper name, the box that classifies them as 'Hinduism.' " The debate has also secured the standing of the Hindu American Foundation as the pre-eminent voice for the country's two million Hindus, said Diana L. Eck, a professor of comparative religion and Indian studies at Harvard.

We chose these numbers because (1) there is no proper precedent in literature to classify plagiarism.

In their study, they expressed that to obtain satisfactory results, it is necessary to adopt a proper approach to identify and classify uniform basins.