general EM algorithm

E2089210 UNEXPLORED

The general EM (Expectation-Maximization) algorithm is an iterative optimization method used to find maximum likelihood or maximum a posteriori estimates of parameters in statistical models with latent variables or incomplete data.

Try in SPARQL Jump to: Surface forms Referenced by

All labels observed (1)

Label Occurrences
general EM algorithm canonical 1

Referenced by (1)

Full triples — surface form annotated when it differs from this entity's canonical label.

Baum–Welch algorithm isSpecialCaseOf general EM algorithm