Sentence examples for divergence measures from inspiring English sources

Divergence Measures and Message Passing.

To this end, we introduce several divergence measures between the design weighted estimator of distribution function and the hypothesized distribution, and propose goodness-of-fit tests based on these divergence measures.

In addition, the basic quantities of information theory entropy and relative entropy and their generalizations to other divergence measures such as f-divergences are central in many areas of-divergences areatisticentralprobabinity.

Moreover, new results on divergence measures are given.

For other divergence measures, we refer the readers to [14 18] and [19].

After vector quantization, Kullbak-Leibler divergence measures the similarities of the models.

A proportion entropy constraint is added as the divergence measure of portfolio.

Our procedure involves the construction of a context-vector representing the target's meaning and the use of the Kullback-Leibler divergence measure for quantifying its semantic change.

The beam divergence measured at the drift duct is 4 mrad in the horizontal direction, 6 mrad in the vertical, which are in agreement with the design value of 5 mrad.

An application of Theorem 1.3 in divergence measure is the following result given in [16].

Lasso uses the Euclidean distance as the divergence measure to evaluate the similarity of vectors.