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bn:03801108n
Noun Concept
Categories: Entropy and information, Articles with short description, Information theory
EN
conditional entropy  average conditional information content  conditional information  equivocation  mean conditional information content
EN
In information theory, the conditional entropy quantifies the amount of information needed to describe the outcome of a random variable Y {\displaystyle Y} given that the value of another random variable X {\displaystyle X} is known. Wikipedia
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EN
In information theory, the conditional entropy quantifies the amount of information needed to describe the outcome of a random variable Y {\displaystyle Y} given that the value of another random variable X {\displaystyle X} is known. Wikipedia
Measure of relative information in probability theory and information theory Wikidata
The portion of a random variable's own Shannon entropy which is independent from another, given, random variable. Wiktionary
EN
The conditional entropy of random variable Y given X (i.e., conditioned by X ), denoted as H ( Y | X ) , is equal to H ( Y ) − I ( Y ; X ) where I ( Y ; X ) is the mutual information between Y and X . Wiktionary
HAS KIND
equivocation
RECOMMENDED UNIT OF MEASUREMENT
ban
nat
shannon
Wikipedia
EN
conditional entropy
Wikidata
EN
conditional entropy
Wiktionary
EN
conditional entropy
Wikipedia Redirections
EN
conditional information, equivocation (information theory)
Wikidata Alias
EN
average conditional information content, mean conditional information content

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