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This note considers estimation of the mean of a multivariate Gaussian distribution with known variance within the Minimum Message… Expand Inductive Inference.- Information.- Strict Minimum Message Length (SMML).- Approximations to SMML.- MML: Quadratic Approximations… Expand We derive a minimum message length (MML) estimator for stationary and nonstationary autoregressive models using the Wallace and… Expand Mixture modellingor unsuper visedclassificationis aproblem of identifying and modelling componentsin a body of data. Earlier work… Expand The relationship between the Bayesian approach and the minimum description length approach is established. We sharpen and clarify… Expand The notion of algorithmic complexity was developed by Kolmogorov (1965) and Chaitin (1966) independently of one another and of… Expand The segmentation problem arises in many applications in data mining, A.I. and statistics, including segmenting time series… Expand We consider some particular instances of the segmentation problem. We derive minimum message length (MML) expressions for stating… Expand A method of Bayesian inference known as minimum message length encoding is applied to the inference of an evolutionary-tree and… Expand Although classifiation is perhaps the oldest practical application of MML inference, the early algorithm was subject to weakly… Expand