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Line 28: Similar ideas are used to prove the properties of [[Chaitins constant\|Chaitin's constant]] The [[minimum message length]] 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 probability\|Bayesian]] (it incorporates prior beliefs) and information-theoretic. It has the desirable properties of statistical invariance (the inference transforms with a re-parameterisation, such as from

Kolmogorov complexity: Difference between revisions