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.
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.