Concept information
Término preferido
expectation–maximization algorithm
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Definición
- expectation–maximization algorithm is an iterative method to find (local) maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. (Wikipedia, retrieved on 2021/07/02).
Concepto genérico
etiqueta alternativa (skos)
- EM algorithm
En otras lenguas
URI
http://data.loterre.fr/ark:/67375/LTK-B0PJD5PB-4
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