Houjun Liu

mutual information

mutual information a measure of the dependence of two random variables in information theory. Applications include collocation extraction, which would require finding how two words co-occur (which means one would contribute much less entropy than the other.)

constituents

requirements

mutual information is defined as

\begin{equation} I(X ; Y) = D_{KL}(P_{ (X, Y) } | P_{X} \otimes P_{Y}) \end{equation}

mutual information between \(X\) and \(Y\) is the additional information contributed by the "

additional information