Probabilistic Graphical Models
GPTKB entity
Statements (50)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
statistical analysis
graphical model |
| gptkbp:application |
computer vision
natural language processing robotics speech recognition bioinformatics |
| gptkbp:describes |
probabilistic relationships among variables
|
| gptkbp:developedBy |
1980s
|
| gptkbp:field |
gptkb:artificial_intelligence
gptkb:machine_learning statistics |
| gptkbp:form |
gptkb:probability_theory
statistics graph theory |
| gptkbp:hasConcept |
inference
learning factorization marginalization conditional independence |
| https://www.w3.org/2000/01/rdf-schema#label |
Probabilistic Graphical Models
|
| gptkbp:includes |
gptkb:Markov_random_field
Boltzmann machine factor graph |
| gptkbp:notableBook |
gptkb:Probabilistic_Graphical_Models:_Principles_and_Techniques
gptkb:Daphne_Koller gptkb:Nir_Friedman |
| gptkbp:relatedTo |
gptkb:Judea_Pearl
gptkb:belief_network gptkb:Daphne_Koller gptkb:Michael_I._Jordan Markov chain deep generative models conditional random field latent variable models causal graphical models structured probabilistic model |
| gptkbp:represents |
graph
factor graph |
| gptkbp:supportsAlgorithm |
gptkb:Markov_Chain_Monte_Carlo
gptkb:Gibbs_sampling variational inference belief propagation expectation-maximization |
| gptkbp:usedFor |
causal inference
representation learning structured prediction uncertainty modeling |
| gptkbp:bfsParent |
gptkb:David_Poole
|
| gptkbp:bfsLayer |
6
|