1.1 - 8.10 - LoopyBeliefPropagation (ML Engine) - Teradata Vantage

Teradata Vantage™ - Machine Learning Engine Analytic Function Reference

Product
Teradata Vantage
Release Number
1.1
8.10
Release Date
October 2019
Content Type
Programming Reference
Publication ID
B700-4003-079K
Language
English (United States)

Belief propagation, or sum-product message passing, is an algorithm for inferring probabilities from graphical models, such as Bayesian networks and Markov random fields.

The LoopyBeliefPropagation function calculates, for a Bayesian network of binary variables, the marginal distribution for each unobserved variable, conditional on any observed variables.