Statements (49)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:mathematical_concept
probabilistic graphical model |
| gptkbp:alsoKnownAs |
undirected graphical model
|
| gptkbp:application |
natural language processing
image segmentation protein structure prediction restoration of images spatial data modeling |
| gptkbp:characterizedBy |
graph
|
| gptkbp:contrastsWith |
directed graphical model
|
| gptkbp:describes |
joint distribution of random variables
|
| gptkbp:form |
factorization over cliques
|
| gptkbp:generalizes |
Markov chain
|
| https://www.w3.org/2000/01/rdf-schema#label |
Markov random field
|
| gptkbp:inferenceMethod |
gptkb:Gibbs_sampling
belief propagation mean field approximation |
| gptkbp:namedAfter |
gptkb:Andrey_Markov
|
| gptkbp:property |
global Markov property
local Markov property pairwise Markov property |
| gptkbp:relatedTo |
gptkb:Ising_model
gptkb:Markov_property gptkb:clique gptkb:Potts_model gptkb:Gibbs_distribution gptkb:Hammersley–Clifford_theorem Boltzmann machine Markov chain maximum likelihood estimation partition function energy-based model conditional independence conditional random field graphical model parameter learning potential function |
| gptkbp:studiedIn |
gptkb:artificial_intelligence
gptkb:probability_theory statistics graph theory |
| gptkbp:usedIn |
gptkb:machine_learning
computer vision spatial statistics statistical physics image analysis |
| gptkbp:bfsParent |
gptkb:Energy-based_models_in_machine_learning
gptkb:exponential_family |
| gptkbp:bfsLayer |
5
|