Difference between revisions of "Posterior Decoding"

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Latest revision as of 23:43, 1 January 2017

Posterior decoding is an application of Decision Theory to find maximally-scoring alignment paths or parse trees in Hidden Markov Models and Stochastic Grammars.

See also

-- Ian Holmes - 03 Oct 2007