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In the case where the datasets have directly connected bnodes, the authors assume that all neighboring bnodes are equal during mapping.
The performance of HC is generally good in terms of F1-measure, but it is not as good as reported in [33] and [34], where the datasets used were less challenging in terms of both the number of cameras and the number of images captured by each camera.
These two metrics are consistent with the sampling programs described where the datasets for some phyla are more accessible than others.
We have encountered a similar problem with phosphothreonines and phosphotyrosines, where the datasets were simply too small for reliable conclusions.
The NMR spectra were exported from TOPSPIN and imported into R [ 124] where the datasets were compiled.
The data were sent to Lund, Sweden where the datasets were combined and where the different classifications of brand of implant were combined into common implant definitions.
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Contextual anomalies exist where the dataset includes a combination of behavioural and contextual attributes.
A global model is where the dataset is very structurally diverse and thus will reflect a range of different mechanistic actions among members of the set.
In contrast to [14] where the dataset is used to study recognition of material categories we will use images from all four material samples as examples of the same class when training the classifier.
There is no similar test for cases where the dataset follows the General Gaussian distribution of shape p, f i ~ GG μ f i, σ f i, p (see Section 2 and Appendix A).
Cubic voxels are also very useful when we apply image reconstruction techniques, where the dataset has to be rotated.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com