Statements (51)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
statistical analysis
probabilistic graphical model |
| gptkbp:application |
finance
natural language processing robotics speech recognition bioinformatics diagnosis activity recognition fault diagnosis |
| gptkbp:canBe |
continuous
discrete hybrid uncertainty latent variables missing data |
| gptkbp:canLearnMove |
gptkb:Markov_chain_Monte_Carlo
variational inference expectation-maximization |
| gptkbp:field |
gptkb:artificial_intelligence
gptkb:machine_learning data science statistics |
| gptkbp:generalizes |
gptkb:Kalman_filters
gptkb:hidden_Markov_models |
| gptkbp:hasComponent |
edges
nodes conditional probability distributions |
| gptkbp:hasModel |
nonlinear systems
non-Gaussian systems multivariate time series |
| gptkbp:hasTemporalStructure |
observation model
transition model time slices |
| https://www.w3.org/2000/01/rdf-schema#label |
dynamic Bayesian networks
|
| gptkbp:introducedIn |
1990s
|
| gptkbp:relatedTo |
gptkb:Kalman_filters
gptkb:hidden_Markov_models causal inference Markov models probabilistic reasoning |
| gptkbp:represents |
stochastic processes
dynamic systems temporal dependencies |
| gptkbp:subclassOf |
Boltzmann machine
|
| gptkbp:usedFor |
time series analysis
sequence modeling modeling temporal processes |
| gptkbp:bfsParent |
gptkb:Rao-Blackwellized_particle_filter
gptkb:Bayesian_networks |
| gptkbp:bfsLayer |
6
|