Sentence examples for intermediate feature set from inspiring English sources

In order to find significant associations between phenotype candidates and disorder terms we chose to use literature indexing as our intermediate feature set.

Deep learning algorithms learn intermediate invariant concepts between two data sources, which are used to find a common latent feature set.

Feature set NoLyr.

Feature set NoLyr, set AllInst, SVM.

The feature set that produced the highest prediction accuracy is the optimal feature set.

Seed Feature Set.

We term this feature set as frequency-based feature set.

This feature set thus contains 2(2 w+1) integer features.

These 224 features are deemed as the optimal feature set.

Evaluation performance per feature set (1 Rule-based features; 2 Statistical features; 3 Scaling features; 4 Language-dependent features; 5 Length features; 6 Word type features).

The EIPP features and CT features have similar numbers in the optimal feature set.