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Identification of patterns in data (e.g., streamflow) serves as a fundamental approach towards modeling and prediction of the underlying systems.
We present a criterion for optimal sampling design under this framework which aims to minimise the error in the prediction of the underlying spatial random effects.
Since the design of ICLs relies on the prediction of the underlying costs, we explore the extent to which the complexity of earnings modeling affects the estimation of loan subsidies.
In contrast with current efforts on further understanding of glucose insulin homeostasis, a model-based approach is required to assess the correlation between hyperglycemia and cardiometabolic phenotypes, enabling prediction of the underlying cardiovascular risk.
With only 1 Million reads, we derive corrections that enable almost perfect prediction of the underlying expression probability distribution, and use this to predict the sequencing depth required to detect low expressed genes with greater than 95% probability.
First, a Naïve Bayes estimator is used to rank features from which the top-ranked will most likely contain the most informative features for prediction of the underlying biological classes.
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Summing up the above literature survey, it is obvious that various theory and empirical results produce heterogeneous predictions on the underlying determinants of current account imbalance which opens the avenue for further investigation.
Demonstrated results imply that this advanced data-driven modeling technique has a great potential to be integrated into all reservoir development tools for future performance predictions of the underlying processes.
Below, we evaluate these different codes, and make a number of predictions about the underlying mechanisms and their potential role in regulating the efficacy of instructive signals during cerebellar learning.
This prediction - and validity of the underlying assumptions - has been verified in the investigated patient group.
Testing these predictions allows a test of the underlying scenario.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com