Skip to main content

Vocabulary of natural language processing (POC)

Search from vocabulary

Concept information

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

Preferred term

expectation–maximization algorithm  

Definition

  • 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).

Broader concept

Entry terms

  • EM algorithm
  • expectation maximization

In other languages

URI

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

Download this concept:

RDF/XML TURTLE JSON-LD Last modified 5/3/24