Constraint (information theory)
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Constraint in information theory is 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
- Mutual Information
- Total Correlation
- Interaction information
References
- ↑ Garner W R (1962). Uncertainty and Structure as Psychological Concepts, John Wiley & Sons, New York.
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