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:
“Every nation ... have their refinements and grossiertes.... There is a balance ... of good and bad every where; and nothing but the knowing it is so can emancipate one half of the world from the prepossessions which it holds against the other—that [was] the advantage of travel ... it taught us mutual toleration; and mutual toleration ... taught us mutual love.”
—Laurence Sterne (1713–1768)
“When action grows unprofitable, gather information; when information grows unprofitable, sleep.”
—Ursula K. Le Guin (b. 1929)