Constraint (information theory)

From Wikipedia, the free encyclopedia
Jump to: navigation, search

Constraint in information theory refers to the degree of statistical dependence between or among variables.

Garner[1] provides a thorough discussion of various forms of constraint (internal constraint, external constraint, total constraint) with application to pattern recognition and psychology.

See also[edit]


  1. ^ Garner W R (1962). Uncertainty and Structure as Psychological Concepts, John Wiley & Sons, New York.