Sentence examples for multiple labels with from inspiring English sources

Results indicated that the method could detect multiple labels with a match rate of 84.35%.

Consumers' increased interest in environmentally and socially friendly products has been predicted to be a precursor to the growth of sustainability labels in the marketplace (Case 2009), but the presence of multiple labels with unclear meanings can be challenging for consumers to interpret and may ultimately create a barrier to purchases.

Moreover, it is often the case that only limited supporting data are available to quantify the risk of a mentioned adverse event, and products can have multiple labels with inconsistent safety information [ 30, 46].

Fluorescence lifetime contrast in OPT could be exploited to distinguish between multiple labels with similar spectral properties but different lifetime values and to map 3-D variations in local fluorophore environment, such as membrane lipid order [ 54], analyte concentration (e.g. calcium [ 21]) and FRET.

Because genome mapping relies solely on the repetitive nicking patterns to detect CNVs, but the labels are ∼8 kb apart, only large CNVs containing multiple labels with a unique nicking pattern can be detected when the extra copies are not in tandem of each other.

Secondary antibodies were designed for multiple labelling with minimal cross-reactivity with human, bovine, horse, rabbit/mouse and swine serum proteins.

Two datasets for classification of respiratory sounds with all labels including ones with multiple labels (17,930 audio clips, 78 classes).

This problem is a hierarchical multilabel classification (HMC) problem, as a given gene can be annotated with multiple labels, and the set of labels have a hierarchy associated with them.

It is, therefore, crucial for carefully selecting a good strategy for learning with multiple labels.

Now, as we allow the instances to be associated with multiple labels, a constraint can be violated legitimately.

However, in many real-world problems, data instances are usually associated with multiple labels simultaneously, and multi-label learning is increasingly required in many modern applications.