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Optimal Experiment Design (OED) is an indispensable tool in order to reduce the amount of labour and cost intensive experiments in the modelling phase.
As I have journeyed through intensive experiments in contemplative disciplines such as prolonged fasting, meditation and silence, I have found that inspiration is far from arbitrary and can be methodically mined.
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This can be explained by the fact that due to the small number of observations for the Intensive experiments, an increase in the number of unknowns reduces post-fit residuals and prevents successful detection of the ambiguity shifts.
Then, we evaluate the feasibility of bot programs against click-based advertisements through intensive experiments with real advertisement services in Section 5.
Intensive experiments have illustrated the effectiveness of the proposed solution.
Compared with CPUs, intensive experiments demonstrate that the proposed approaches can effectively improve the performances of KMGA method both in terms of efficiency and accuracy.
Labor intensive experiments are typically required to identify the causal disease variants from a list of disease associated variants in the genome.
Future intensive experiments are required to exhaustively address these issues.
In this section we present the results of our data intensive experiment on a private cloud.
A growing number of data- and compute-intensive experiments have been modeled as scientific workflows in the last decade.
In contrast to time-consuming and labor-intensive experiments, computational approach is fast and cost-effective.
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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