With the introduction of next-generation-sequencing technology, a vast amount of sequencing data can be generated in a short period of time.
The hidden nature of the problem, political sensitivities and ethical considerations make it very difficult to implement national surveys on the basis of which reliable global data can be generated.
In this way, sufficient data can be generated.
A tremendous amount of perishable visual data can be generated in just a few days.
All necessary patent data can be generated from publicly accessible data bases.
The test data can be generated from the pairwise approach or randomly.
Thus, realizations, which are statistically consistent with the experimental data, can be generated in an efficient way.
In quantitative HTS, concentration response data can be generated simultaneously for thousands of different compounds and mixtures.
In addition, the Sarsa TD algorithm can find a better strategy than Sarsa if training data can be generated cheaply.
Thanks to the flexibility of this numerical tool, realistic synthetic data can be generated at different pixel resolutions.
PCA is a simple method whereby a model for the distribution of training data can be generated.
