expectation-maximization algorithm

URI: https://gptkb.org/entity/expectation-maximization_algorithm
GPTKB entity
Statements (35)
Predicate Object
gptkbp:instanceOf gptkb:algorithm
gptkbp:alternativeTo gptkb:Markov_chain_Monte_Carlo
gptkb:stochastic_EM
gradient ascent
gptkbp:appliesTo gptkb:hidden_Markov_models
gptkb:Gaussian_mixture_models
clustering
missing data problems
gptkbp:category gptkb:logic
unsupervised learning
gptkbp:convergesTo local maximum
gptkbp:field gptkb:machine_learning
computational mathematics
statistics
gptkbp:hasVariant gptkb:Monte_Carlo_EM
gptkb:classification_EM
gptkb:generalized_expectation-maximization
gptkbp:introduced gptkb:Donald_Rubin
gptkb:Nan_Laird
gptkb:Arthur_Dempster
1977
gptkbp:limitation may converge to local optima
sensitive to initial values
slow convergence near optimum
gptkbp:publishedIn gptkb:Journal_of_the_Royal_Statistical_Society,_Series_B
gptkbp:relatedTo gptkb:Baum–Welch_algorithm
maximum likelihood estimation
variational inference
gptkbp:step expectation step
maximization step
gptkbp:usedFor parameter estimation
incomplete data
finding maximum likelihood estimates
gptkbp:bfsParent gptkb:Baum-Welch_algorithm
gptkbp:bfsLayer 6