Test data has been shown and interpreted in a realistic fashion, with any limitations of the resulting project clearly stated.
On the contrary, very good agreement with available experimental data has been shown to exist for predictions based on extrapolated striation spacing measurements.
Inferring haplotypes in pedigree family data has been shown to be NP-hard, yet the hardness proof relies on large numbers of recombination events that do not occur in real genetic data.
Along with that, Data Augmentation (DA), which is a common strategy adopted to increase the quantity of training data, has been shown to be effective for neural network training to make invariant predictions.
Thermodynamic consistency of the data has been shown by comparing of the experimentally obtained vapour compositions with those calculated from P - x data using the best of the examined models for activity coefficients.
Wavelet-based multiscale representation of data has been shown to be a powerful data analysis, modeling, and feature extraction tool due to its ability to provide efficient separation of deterministic and stochastic features.
"We can say wage pressures are building and be content that industries are not losing workers ahead of the referendum, or [experiencing] a near-term slowdown in output, but what was once the crown jewel of UK economic data has been shown to be slightly less lustrous than originally thought".
Digital data has been shown time and again to represent a temptation and a risk.
In particular, nighttime luminosity data has been shown convincingly to be a useful and reliable proxy for socioeconomic statistics [15 20].
The use of all these reformats in addition to the axial "raw data" has been shown to improve the sensitivity and specificity of this imaging modality [25].
While operator data has been shown to predict infectious disease spread, e.g. for cholera [20], it is likely that these models can be considerably improved by accounting for differential socio-economic composition of travelers.
