Sentence examples for between two hash vectors from inspiring English sources

We use Euclidean distance as the performance metric to measure the discriminating capability between two hash vectors, defined as.

Similarity of the two hash vectors was measured by using Euclidean distance.

To apply the constructed hash functions to the skewed-associative cache, we show that the degree of interbank dispersion between two hash functions is maximal.

The MCC represents a Pearson correlation between two binary vectors.

There is a unique one-to-one correspondence between the keys of the two hash tables, such that the corresponding keys are similar.

To see how close one vector is to another, we need to find the dot product between two vectors.

Hence, a sentence-level feature vector totally has four elements: two hash values computed based on the flipped binary strings, an averaged sentiment score, and a ground truth label.

It is also very easy to do dot product between two vectors.

This would give us information on the angle between two vectors.

The spearman routine calculates the Spearman rank correlation between two vectors.

between two vectors u and v.