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...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Logical Methods in Computer Science e.V.
2013-09-01
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Series: | Logical Methods in Computer Science |
Subjects: | |
Online Access: | https://lmcs.episciences.org/815/pdf |