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Eighteen ancillary data variables derived from a digital elevation model and Landsat 8 images were used to represent predictive soil forming factors in this study area.
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This is because the absolute t-statistic is used to represent the predictive power by both of them.
We believe the superiority is caused by the difference of two metrics, mutual information and the absolute t-statistic, used to represent the predictive power.
In the future, particular ToxPi slices could also be used to represent complex components, such as predictive signatures developed as part of ToxCast or other multivariate models.
Predictive maintenance is used to represent the maintenance strategy that enables to forecast the temporary trend of performance degradation and predict faults of machines by analysing the monitored parameters data.
These encode distance patterns between atoms and are used to represent the protein residue environment and to train predictive models.
It used to represent commitment.
This can be used to represent hierarchies.
Auxiliary data used in this study to represent predictive soil forming factors were terrain attributes and Landsat data as quantitative variables and a geomorphology map as categorical variable.
Auxiliary data used in this study to represent predictive soil forming factors were terrain attributes (derived from a digital elevation model), Landsat 7 ETM+ data, apparent electrical conductivity (ECa)—measured using an electromagnetic induction instrument (EMI), and a geomorphologic surfaces map.
Finally, these interactions, represented by an edge between two gene nodes, can be used to reconstruct predictive networks at any confidence level.
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