Statements (25)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Markov chain
sampling algorithm |
| gptkbp:application |
gptkb:Bayesian_networks
image processing topic modeling |
| gptkbp:assumes |
conditional distributions are known
|
| gptkbp:category |
gptkb:Monte_Carlo_method
gptkb:stochastic_process |
| gptkbp:developedBy |
gptkb:Donald_Geman
gptkb:Stuart_Geman |
| https://www.w3.org/2000/01/rdf-schema#label |
Gibbs sampling
|
| gptkbp:introducedIn |
1984
|
| gptkbp:namedAfter |
gptkb:Josiah_Willard_Gibbs
|
| gptkbp:output |
samples from joint probability distribution
|
| gptkbp:relatedTo |
gptkb:Metropolis-Hastings_algorithm
Markov chain conditional probability |
| gptkbp:step |
sample each variable from its conditional distribution
|
| gptkbp:usedIn |
gptkb:machine_learning
Bayesian statistics statistical inference |
| gptkbp:bfsParent |
gptkb:Energy-based_models_in_machine_learning
gptkb:Markov_chain gptkb:Boltzmann_machine |
| gptkbp:bfsLayer |
5
|