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Publications scientifiques

The likelihood principle and mml estimators: The minimum message length (MML) family of estimators are discrete Bayesian point estimators which violate the Likelihood Principle....
général - core.ac.uk - PDF: citeseerx.ist.psu.edu
The mml evolution of classification graphs... Minimum encoding induction (MML and MDL) is well developed theoretically and is currently being employed in two central areas of investigation in machine learning---namely, classification learning and the learning of causal networks....
général - core.ac.uk - PDF: citeseerx.ist.psu.edu
Mml inference of decision trees, graphs and forests... Decision trees, decision graphs and decision forests arepopular supervised learning methods in machine learning....
général - core.ac.uk - PDF: figshare.com
Mml and bayesianism: similarities and differences (introduction to minimum encoding inference -- part ii)... We examine the relationship between Bayesianism and Minimum Message Length (MML) inference....
général - core.ac.uk - PDF: citeseerx.ist.psu.edu
Single factor analysis by mml estimationThe Minimum Message Length (MML) technique is applied to the problem of estimating the parameters of a multivariate Gaussian model in which the correlation structure is modelled by a single common factor....
général - core.ac.uk - PDF: citeseerx.ist.psu.edu

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