expectation–maximization algorithm

GPTKB entity

Predicate	Object
gptkbp:instanceOf	gptkb:algorithm statistical analysis
gptkbp:abbreviation	gptkb:EM_algorithm
gptkbp:appliesTo	computer vision natural language processing psychometrics speech recognition bioinformatics image processing econometrics
gptkbp:category	gptkb:expectation–maximization_methods mathematical optimization unsupervised learning
gptkbp:describedBy	gptkb:Journal_of_the_Royal_Statistical_Society,_Series_B,_1977
gptkbp:field	gptkb:machine_learning data science statistics computational statistics
gptkbp:form	gptkb:Jensen's_inequality likelihood function conditional expectation
https://www.w3.org/2000/01/rdf-schema#label	expectation–maximization algorithm
gptkbp:input	incomplete data
gptkbp:introduced	gptkb:Donald_Rubin gptkb:Nan_Laird gptkb:Arthur_Dempster
gptkbp:introducedIn	1977
gptkbp:limitation	can be slow to converge may converge to local, not global, maximum sensitive to initial values
gptkbp:output	parameter estimates
gptkbp:property	gptkb:logic converges to local maximum
gptkbp:purpose	find maximum likelihood estimates of parameters in statistical models
gptkbp:relatedTo	gptkb:Baum–Welch_algorithm gptkb:K-means_algorithm maximum likelihood estimation variational inference
gptkbp:step	expectation step maximization step
gptkbp:usedFor	gptkb:hidden_Markov_models gptkb:Gaussian_mixture_models clustering parameter estimation mixture models latent variable models missing data problems
gptkbp:bfsParent	gptkb:Baum–Welch_algorithm
gptkbp:bfsLayer	7