conditional entropy

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      conditional entropy (plural conditional entropies)

      1. (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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      Last modified on 18 June 2013, at 21:06