Sentence examples for preference datasets from inspiring English sources

Specifically, as shown in Table 3, the preference datasets of the mobile user are presented as r1, r2,......,r8 through the 8 × 8 transition matrix, which has been designed to train a mobile user's preferences.

The goal is therefore to infer the posterior over the utility parameters given a preference dataset.

The values of the tuning parameter and the features are recorded at all registered consent moments, leading to the preference dataset (4).

In the first one, called LowPrefs scenario, we randomly generated 10, 5, and 120 preferences to dataset-1, dataset-2, and dataset-3, respectively.

Of course, on the preference-specific datasets (i.e., approach-specific datasets), the preferred method should have the best performance; meanwhile, some other methods would have comparable performances.

And the performance of comparable approaches on some specific dataset is highlighted in bolditalic And seen in Table  3 and Additional file 4: Table S4 for sensitivity performance, again, every method shows its preference on particular datasets (The list of these 3-order approach-specific datasets is in Additional file 5: Table S5).

For illustration purposes hypothetical preference and performance datasets were used.

We repeatedly discuss the absence of kataegic mutations as an indication that DNA breaks and repair are very rarely found in association with the mutation preferences in our datasets.

Based on this model, each SNP class k (k≠0) is associated with two vectors of probabilities V k and W k which characterize the allelic imbalance preferences in different datasets for SNPs belonging to class k.

With this finding preference for land cover datasets with higher resolution is recommended.

We suggest that, for enhancement methods using administrative health datasets, the preference should be towards an algorithm that incorporates a weight of evidence.