Keywords

#mutual_information

Mutual information

Measure of dependence between two variables

In probability theory and information theory, the mutual information (MI) of two random variables is a measure of the mutual dependence between the two variables. More specifically, it quantifies the "amount of information" obtained about one random variable by observing the other random variable. The concept of mutual information is intimately linked to that of entropy of a random variable, a fundamental notion in information theory that quantifies the expected "amount of information" held in a random variable.

Mon 26th

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Mutual information Conditional mutual information Pointwise mutual information Adjusted mutual information Quantum mutual information Information theory Interaction information Mutual Feature selection Information gain (decision tree)
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