Sentence examples for combination of datasets from inspiring English sources

In this talk, I will share a few naive approaches to reduce cost and enable the combination of datasets from different labs.

Using a novel combination of datasets and a longitudinal research design, we investigate the influence of different policy measures in a sample of OECD countries to suggest an effective policy mix which could tackle failures in the market for clean energy.

However, it is not feasible to design new algorithms for every possible combination of datasets.

While ALLPATHS-LG and Cerulean require each a specific combination of datasets, GAML works on any combination.

Batch correction techniques are also included to further enable the combination of datasets from diverse studies in this comparison.

While ALLPATHS-LG and Cerulean each require a very specific combination of datasets, GAML works on any combination.

Five models are built for each combination of dataset and feature type (e.g. for antiTB dataset when using MDL, antiTB_MDL will be used to represent one combination).

The main reason is because none of these methods can be claimed as the best approach for any possible combination of dataset and prediction method.

LDC equals the maximum first-hit computed over all the classes for a given combination of dataset, base classifier and query selection criterion.

Means at each iteration are micro-averages all the instances are equally weighted—over all cross-validation folds for a given comicro-averages alletheclassinstances selection criterion.

Among all the developed models for each combination of dataset, descriptor type and applied method one with the highest Balanced Accuracy was selected for further analysis.