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:
“If one considers how much reason every person has for anxiety and timid self-concealment, and how three-quarters of his energy and goodwill can be paralyzed and made unfruitful by it, one has to be very grateful to fashion, insofar as it sets that three-quarters free and communicates self-confidence and mutual cheerful agreeableness to those who know they are subject to its law.”
—Friedrich Nietzsche (1844–1900)
“I am the very pattern of a modern Major-Gineral,
I’ve information vegetable, animal, and mineral;
I know the kings of England, and I quote the fights historical,
From Marathon to Waterloo, in order categorical;”
—Sir William Schwenck Gilbert (1836–1911)