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(information theory) The portion of a random variable's own Shannon entropy which is independent from another, given, random variable.

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conditional entropy

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conditional entropy

noun

(information theory) The portion of a random variable's own Shannon entropy which is independent from another, given, random variable.

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(information theory) The portion of a random variable's own Shannon entropy which is independent from another, given, random variable.

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.

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conditional entropy

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