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:
“What men call friendship is no more than a partnership, a mutual care of interests, an exchange of favors—in a word, it is a sort of traffic, in which self-love ever proposes to be the gainer.”
—François, Duc De La Rochefoucauld (1613–1680)
“English literature is a kind of training in social ethics.... English trains you to handle a body of information in a way that is conducive to action.”
—Marilyn Butler (b. 1937)