Sentence examples for much larger datasets from inspiring English sources

Exact(49)

The Taguchi method was effective at identifying successful architecture with the potential for development as a useful generic inhaler ANN model, although this would require much larger datasets and more variable inputs.

By using active learn- ing as our optimization strategy for labeling tasks in crowd-sourced databases, we can minimize the number of questions asked to the crowd, allowing crowd-sourced applications to scale (i.e., label much larger datasets at lower costs).

One way to extend the existing H3 implementation to much larger datasets would be by using multiple linked H3 windows to explore the dataset at more than one discrete levels of detail: clicking on a node in a higher-level window would cause its subgraph to be displayed in another window.

Other authors reached the same conclusions, but using much larger datasets [36 38].

Algorithmic improvements allow handling of much larger datasets in reasonable time.

These choices were made primarily for simplicity and are unlikely to be appropriate for the other, much larger datasets considered in the paper.

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However, thorough validation awaits a much larger dataset and testing of the model under a variety of on-farm situations.

Our analyses confirm some previously detected trends relating sequence divergence to structural variation but for a much larger dataset and in some superfamilies the new data reveal exceptional structural variation.

Again, it's about 10% more times that a slur ends below the first note than above – that's the same ratio as we saw for the first ten pieces, but it might be quite statistically significant given the much larger dataset.

But some corroboration comes from eminent author and political analyst Sean Trende, who found the same strong relationship among counties – that is, counties (which provide a much larger dataset) with higher levels of white evangelicals are voting in a lower percentage for Romney.

In this study we experiment with a much larger dataset.

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