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gptkbp:instanceOf
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probabilistic graphical model
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gptkbp:alsoKnownAs
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gptkb:Markov_random_field
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gptkbp:application
|
natural language processing
spatial statistics
image segmentation
protein structure prediction
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gptkbp:component
|
gptkb:clique
edge
node
potential function
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gptkbp:contrastsWith
|
directed graphical model
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gptkbp:describedBy
|
gptkb:Judea_Pearl,_1988
A. P. Dempster, 1972
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gptkbp:field
|
gptkb:artificial_intelligence
gptkb:mathematics
statistics
|
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gptkbp:hasModel
|
conditional independence
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Markov network
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gptkbp:inferenceMethod
|
gptkb:Gibbs_sampling
belief propagation
mean field approximation
|
|
gptkbp:namedAfter
|
gptkb:Andrey_Markov
|
|
gptkbp:parameterLearning
|
maximum likelihood estimation
pseudo-likelihood estimation
|
|
gptkbp:property
|
gptkb:Markov_property
|
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gptkbp:relatedTo
|
gptkb:Ising_model
gptkb:Gibbs_distribution
Boltzmann machine
conditional random field
factor graph
|
|
gptkbp:represents
|
joint probability distribution
|
|
gptkbp:structure
|
graph
|
|
gptkbp:usedIn
|
gptkb:machine_learning
computer vision
image processing
statistical physics
|
|
gptkbp:bfsParent
|
gptkb:Boltzmann_machine
|
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gptkbp:bfsLayer
|
5
|