Wondering how to use Kullback in a sentence? Below are 4 example sentences from authentic English texts. .
Kullback in a sentence
Using Kullback
- In the example corpus, kullback often appears in combinations such as: the kullback, kullback leibler.
Context around Kullback
- Average sentence length in these examples: 28 words
- Position in the sentence: 0 start, 4 middle, 0 end
- Sentence types: 4 statements, 0 questions, 0 exclamations
Corpus analysis for Kullback
- In this selection, "kullback" usually appears in the middle of the sentence. The average example has 28 words, and this corpus slice is mostly made up of statements.
- Around the word, information, leibler and liebler stand out and add context to how "kullback" is used.
- Recognizable usage signals include as the kullback leibler divergence and distribution the kullback leibler divergence. That gives this page its own corpus information beyond isolated example sentences.
- By corpus frequency, "kullback" sits close to words such as aaai, aani and aarne, which helps place it inside the broader word index.
Example types with kullback
The same corpus examples are grouped by length and sentence type, making it easier to see the contexts in which the word appears:
It is defined as the Kullback–Leibler divergence from the distribution to a reference measure m as follows. (18 words)
Short introduction to the axioms of information theory, entropy, mutual information, Kullback-Liebler divergence, and Jensen-Shannon distance. (18 words)
Mutual Information The mutual information of a distribution is a special case of the Kullback–Leibler divergence in which is the full multivariate distribution and is the product of the 1-dimensional marginal distributions. (34 words)
If we compress data in a manner that assumes q(X) is the distribution underlying some data, when, in reality, p(X) is the correct distribution, the Kullback–Leibler divergence is the number of average additional bits per datum necessary for compression. (42 words)
Mutual Information The mutual information of a distribution is a special case of the Kullback–Leibler divergence in which is the full multivariate distribution and is the product of the 1-dimensional marginal distributions. (34 words)
It is defined as the Kullback–Leibler divergence from the distribution to a reference measure m as follows. (18 words)
Example sentences (4)
If we compress data in a manner that assumes q(X) is the distribution underlying some data, when, in reality, p(X) is the correct distribution, the Kullback–Leibler divergence is the number of average additional bits per datum necessary for compression.
It is defined as the Kullback–Leibler divergence from the distribution to a reference measure m as follows.
Mutual Information The mutual information of a distribution is a special case of the Kullback–Leibler divergence in which is the full multivariate distribution and is the product of the 1-dimensional marginal distributions.
Short introduction to the axioms of information theory, entropy, mutual information, Kullback-Liebler divergence, and Jensen-Shannon distance.
Common combinations with kullback
These word pairs occur most frequently in English texts: