Statements (20)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
statistical analysis
|
| gptkbp:alternativeTo |
Sampling methods
|
| gptkbp:appliesTo |
Deep learning
Latent variable models Topic models |
| gptkbp:firstDescribed |
1990s
|
| https://www.w3.org/2000/01/rdf-schema#label |
Variational inference
|
| gptkbp:involves |
Optimization
Evidence lower bound |
| gptkbp:reduces |
gptkb:Kullback-Leibler_divergence
|
| gptkbp:relatedTo |
gptkb:Markov_chain_Monte_Carlo
Expectation-maximization algorithm |
| gptkbp:usedFor |
Approximate inference
Posterior estimation |
| gptkbp:usedIn |
Bayesian statistics
Machine learning |
| gptkbp:bfsParent |
gptkb:Zoubin_Ghahramani
gptkb:Exponential_family gptkb:Gaussian_mixture_models |
| gptkbp:bfsLayer |
6
|