Sentence examples for most useful classification from inspiring English sources

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Social scientists have found the most useful classification of the USA's many religious denominations to be along a continuum from fundamentalism to liberalism.

The most useful classification of thoracolumbar injuries is the association for osteosynthesis/association for the study of internal fixation (AO-ASIF) classification proposed by Magerl [19] based on pathomorphological characteristics of injuries.

A most useful classification system has been the proposal of the French-American-British (FAB) cooperative study group [ 6, 7].

The authors have found the latter to be the most useful classification enabling better communication and understanding between radiologists and clinicians, patient selection for surgery and surgical planning, providing at the same time detailed information on the extent of the disease and signifying prognosis.

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To date, the most useful classifications of muscle fibers are based on their two major functional characteristics: speed of contraction and the aerobic (oxidative)/anaerobic (glycolytic) production of adenosine triphosphate.

FLDA was then used to identify the most useful features using classification accuracy based ranking strategy that segregate the groups with respect to all the significant morphometric features.

The K-nearest neighbor (KNN) rule is one of the most useful supervised classification methods, and is widely used in many pattern classification applications due to its simplicity.

The main role of our feature selection method is to identify the gene expressions from a microarray data that are most useful for classification.

In this tree we see how item B has been pruned, since its IG is 0, and how the remaining items are sorted and inserted by their IG, with item A being the first and the most useful for classification.

Word-level features are by far the most common types of features used for de-identification, and are also described as the most useful for the classification task.

The histogram of the feature counts from these attribute elevators is then plotted to get the ranking of the taxonomically relevant features that are most useful for the classification as shown in Figure 2.

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