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Line 26: Similar ideas are used to prove the properties of [[Chaitins constant\|Chaitin's constant]] The [[Minimum Message Length]] (MML) principle of statistical and inductive inference and machine learning was independently developed by C.S. Wallace and D.M. Boulton in 1968. MML is Bayesian (it incorporates prior beliefs) and information-theoretic. It has the desirable properties of statistical

Kolmogorov complexity: Difference between revisions