Measure Transformer Semantics for Bayesian Machine Learning

The Bayesian approach to machine learning amounts to computing posterior distributions of random variables from a probabilistic model of how the variables are related (that is, a prior distribution) and a set of observations of variables. There is a trend in machine learning towards expressing Bayes...

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Bibliographic Details
Main Authors: Johannes Borgström, Andrew D Gordon, Michael Greenberg, James Margetson, Jurgen Van Gael
Format: Article
Language:English
Published: Logical Methods in Computer Science e.V. 2013-09-01
Series:Logical Methods in Computer Science
Subjects:
Online Access:https://lmcs.episciences.org/815/pdf