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:
“Religion is by no means a proper subject of conversation in mixed company; it should only be treated among a very few people of learning, for mutual instruction. It is too awful and respectable a subject to become a familiar one.”
—Philip Dormer Stanhope, 4th Earl Chesterfield (1694–1773)
“When action grows unprofitable, gather information; when information grows unprofitable, sleep.”
—Ursula K. Le Guin (b. 1929)