Statements (24)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
statistical analysis
probabilistic graphical model |
| gptkbp:canBe |
continuous
discrete |
| gptkbp:canLearnMove |
Bayesian inference
expectation-maximization |
| gptkbp:capturedBy |
dependencies over time
|
| gptkbp:extendsTo |
Boltzmann machine
|
| gptkbp:hasComponent |
edges
nodes conditional probability distributions |
| gptkbp:hasModel |
gptkb:Kalman_filters
gptkb:hidden_Markov_models temporal processes |
| https://www.w3.org/2000/01/rdf-schema#label |
dynamic Bayesian network
|
| gptkbp:relatedTo |
gptkb:Markov_model
Boltzmann machine |
| gptkbp:represents |
stochastic processes
|
| gptkbp:usedIn |
gptkb:artificial_intelligence
gptkb:machine_learning time series analysis |
| gptkbp:bfsParent |
gptkb:Bayesian_belief_network
gptkb:Hidden_Markov_model |
| gptkbp:bfsLayer |
6
|