Examples of 'information entropy' in a sentence
Meaning of "information entropy"
information entropy: measure of uncertainty or randomness in data or information
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- A measure of the uncertainty associated with a random variable; a measure of the average information content one is missing when one does not know the value of the random variable (usually in units such as bits); the amount of information (measured in, say, bits) contained per average instance of a character in a stream of characters.
How to use "information entropy" in a sentence
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information entropy
Thermodynamic entropy is thus a kind of information entropy.
Information entropy ought not to be caused in the infosphere.
An analog to thermodynamic entropy is information entropy.
The differential information entropy of the uniform distribution is simply.
The nat is the coherent unit for information entropy.
The information entropy of an isolated system can not decrease.
In the data analysis the techniques of descriptive statistics and information entropy were used.
It is the information entropy of an observer who is aware of the constraints.
There exist criticisms of the link between thermodynamic entropy and information entropy.
The information entropy of a group is computed when computing the semantic weights.
The equation given here is for Shannon information entropy.
Use of information entropy measures of sitting postural sway to quantify developmental delay in infants.
The principle states that one should prefer the distribution which maximizes the Shannon information entropy.
Denotes the Shannon information entropy.
Shannon 's information entropy is a much more general concept than statistical thermodynamic entropy.
See also
Metric entropy Information theory Information entropy.
In that case, the information entropy would be equal to zero.
Table 2 presents the analysis of the results by information entropy.
This proposal used the concept of information entropy to resolve the paradox of Maxwell's Demon.
The simplest is the variation ratio, while more complex indices include the information entropy.
Information entropy Autocorrelation test Kolmogorov-Smirnov test Statistically distance based randomness test.
The most preferred embodiment measures information Entropy or Shannon Entropy.
When optimally compressed, the resulting carrying capacity approaches Shannon information or information entropy.
In short, he developed the concepts of information entropy and redundancy.
The unit of information entropy is the Shannon Bit or S-bit.
H is a forerunner of Shannon's information entropy.
So, if we add the information entropy we will get the result we're looking for.
It 's called information entropy.
An alternative is the information entropy definition introduced in 1948 by Claude Shannon.
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Should you require information related to the
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