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and Boulton, 1968; Wallace and Dowe, 1999a; Wallace, 2005) is a Bayesian information-theoretic principle in machine learning, statistics and data science. MML can be thought of in different ways - it
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of the following: Statistics, Machine Learning, Deep Learning, Multivariate Modelling. As well as an interest in personal development, psychology, sociology, economics or something else important in life.
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. (2005), ``Statistical and Inductive Inference by Minimum Message Length '', Springer (Link to the preface [and p vi , also here ]) Wallace, C.S. and D.M. Boulton (1968), ``An information measure for
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), ``Statistical and Inductive Inference by Minimum Message Length '', Springer (Link to the preface [and p vi , also here ]) Wallace, C.S. and D.L. Dowe (1994b), Intrinsic classification by MML - the Snob program