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Vocabulary of natural language processing (POC)

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Concept information

NLP methods and tools > NLP algorithm > clustering approach > expectation–maximization algorithm

Término preferido

expectation–maximization algorithm  

Definición

  • 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).

Concepto genérico

Etiquetas alternativas

  • EM algorithm
  • expectation maximization

En otras lenguas

URI

http://data.loterre.fr/ark:/67375/8LP-PGPD75FM-L

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