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Shibata et al., 2014 - Google Patents

A comparison of collapsed Bayesian methods for probabilistic finite automata

Shibata et al., 2014

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Document ID
16074038076827788572
Author
Shibata C
Yoshinaka R
Publication year
Publication venue
Machine learning

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Snippet

This paper describes several collapsed Bayesian methods, which work by first marginalizing out transition probabilities, for inferring several kinds of probabilistic finite automata. The methods include collapsed Gibbs sampling (CGS) and collapsed variational Bayes, as well …
Continue reading at link.springer.com (HTML) (other versions)

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