Sentence examples for an approximate label from inspiring English sources

The phrase "an approximate label" is correct and usable in written English.
It can be used when referring to a label that is not exact but gives a general idea or categorization of something.
Example: "For the purpose of this study, we will use an approximate label to describe the demographic group."
Alternatives: "a rough label" or "a general label".

Exact(1)

Documents are examined for theories on how an intervention is supposed to work which are then highlighted, noted and given an approximate label.

Similar(59)

An approximate labelling is used to create iconic images.

Comparison of the relative intensities of the two bands gives an approximate tagging-labelling efficiency for TbARL6 of 50% using this methodology.

Vectors a i l are sparse and approximate labeled data x i l as a linear combination of the bases which, however, are learned using the unlabeled data X u.

Even these words seem to be merely approximate labels for them: a Mundurukú who is shown three objects will sometimes say there are three, sometimes four.

Of note, the intensity of fluorescent label, an approximate measure of WASP density, was comparable for the WASP-positive subset of patient T cells and normal T cells (Figure 1A, right), suggesting that patient cells that express WASP do so at normal or near normal levels.

Labelling with In-oxine and Cu leads to an approximate efficiency of 80% while the labelling rate of F-FDG yields in 60% [ 41].

In this paper, through applying pairwise constraints between relevant and irrelevant labels, and defining an approximate ranking loss, we generalize binary Lagrangian support vector machine (LSVM) to construct its multi-label form (Rank-LSVM), resulting into a strictly convex QP problem with non-negative constraints only.

In contrast, dye spread among astrocytes in the cerebral cortex caused labelling of cells in an approximate circular pattern around the impaled cell.

As a potential improvement to PHENOstruct we explored an approximate inference algorithm that replaces computation of the most compatible label by looping overall combinations of labels that occur in the training data with a dynamic programming algorithm that performs approximate evaluation of all possible combinations of hierarchically consistent labels.

Queries are run exactly and approximated by unspecifying one, two and all node labels and replacing one edge with an approximate path constrained to less than 3 and 7 edges.

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