Sentence examples for between pairs of features from inspiring English sources

To this end, recent proposals are focused on direct matching between pairs of features within sequences, mainly based on classical distances.

In these models, one would have to also take into account the correlations between pairs of features which can be superimposed over the multiple Bernoulli model.

Redundancy is computed by the mutual information (MI) between pairs of features whereas relevance is measured by the MI between each feature and the class labels.

Similarity between pairs of features was calculated as the cosine between them, and we identified pairs of features that were highly similar but were not necessarily listed together in the same concepts (e.g., is absorbent and does absorb).

Indeed, in relation to the data we have presented here, some of the conditions were best explained by a "shape" model which concentrates on the 3D relationship between pairs of features.

This distance measure is based on the Euclidean distance between pairs of feature vectors in the training set.

Based on the distance matrix between pairs of clinical features, a hierarchical cluster analysis [ 26] was the algorithm applied to identify cluster structure.

The distance between pairs of color feature vectors is computed by Euclidean distance, while distances between pairs of shape and texture feature vectors are computed by city-block distance.

The aspect alluded to in the second part, 'redundancy', refers to pairwise relationships between all pairs of features in the predictor set.

Decomposing each feature sample as a weighted linear combination of the other feature samples, TPLRMC can measure the similarities between any pairs of feature samples.

We will then graph the correlations that are statistically different between the groups to identify the pairs of features (i.e. the different VOC metabolites and bacteria between treatments) that distinguish the responses.