In probability theory and information theory, the mutual information (sometimes known by the archaic term transinformation) of two random variables is a quantity that measures the mutual dependence of the two random variables. The most common unit of measurement of mutual information is the bit, when logarithms to the base 2 are used.
Read more about Mutual Information: Definition of Mutual Information, Relation To Other Quantities, Variations of Mutual Information, Applications of Mutual Information
Famous quotes containing the words mutual and/or information:
“Marry first, and love will come after is a shocking assertion; since a thousand things may happen to make the state but barely tolerable, when it is entered into with mutual affection.”
—Samuel Richardson (1689–1761)
“Knowledge is of two kinds. We know a subject ourselves, or we know where we can find information upon it.”
—Samuel Johnson (1709–1784)