Expectation-Maximization

GPTKB entity

Statements (28)
Predicate Object
gptkbp:instanceOf gptkb:algorithm
gptkbp:abbreviation gptkb:EM
gptkbp:appliesTo gptkb:hidden_Markov_models
gptkb:Gaussian_mixture_models
missing data problems
gptkbp:category gptkb:logic
unsupervised learning
gptkbp:citation Dempster, Laird, Rubin (1977), Journal of the Royal Statistical Society, Series B
gptkbp:convergesTo local maximum
gptkbp:field gptkb:machine_learning
statistics
https://www.w3.org/2000/01/rdf-schema#label Expectation-Maximization
gptkbp:introduced gptkb:Donald_Rubin
gptkb:Nan_Laird
gptkb:Arthur_Dempster
gptkbp:introducedIn 1977
gptkbp:limitation may converge to local optima
sensitive to initialization
gptkbp:purpose parameter estimation
gptkbp:relatedTo gptkb:Baum–Welch_algorithm
gptkb:K-means_clustering
variational inference
gptkbp:step gptkb:E-step
gptkb:M-step
gptkbp:usedFor maximum likelihood estimation
incomplete data
gptkbp:bfsParent gptkb:Bayesian_Learning
gptkbp:bfsLayer 7