Sentence examples for methods were trained from inspiring English sources

All benchmark machine learning methods were trained on the same input data as described for our method (normalised adjacency with enriched properties of known causes of each ADR).

The methods were trained on 30% of these points and tested on the remaining 70%, and results were also compared with existing land cover products.

The predictions generated by previously published methods will depend on the input features, so these methods were trained on the same input features as used with our method, and their prediction performance was evaluated with the same EHR pipeline.

For fair comparison, different machine learning methods were trained with the same training sets and tested with the same testing sets.

The experiments on the Bosphorus database is limited, because the considered methods were trained only with frontal and near-frontal faces, and this did not permit us to make a fair comparison against head poses on Bosphorus database.

Both methods were trained on ∼9000 samples and tested on ∼5000 independent samples (Fig. 2a).

Supervised methods are trained on examples with labels (for example, 'gene' or 'not gene') and are then used to predict these labels on other examples, whereas unsupervised methods find patterns in data sets without the use of labels.

Some methods are trained with already published RREs, whereas others identify de novo RREs.

Computational methods are trained on these types of disease data, and so detect loss of activity greater than that magnitude.

The training of system-level models is performed by running the system without modulation using a learning constant of ε = 0.0001; both methods are trained respecting the blocking procedure of Sect.

In the NP protocol methods are trained using the set of annotations acquired in or before the year 2009 and they are tested on the annotations acquired for proteins that were not annotated in or before 2009.