Probabilistic Graphical Models
GPTKB entity
Statements (44)
Predicate | Object |
---|---|
gptkbp:instance_of |
gptkb:Model
|
gptkbp:developed_by |
gptkb:Steffen_L._Lauritzen
gptkb:David_Koller gptkb:Daphne_Koller gptkb:Judea_Pearl |
gptkbp:has_applications_in |
gptkb:Computer_Vision
gptkb:Natural_Language_Processing gptkb:machine_learning Bioinformatics |
gptkbp:has_component |
Markov Random Fields
Bayesian Networks |
gptkbp:has_method |
gptkb:Markov_Chain_Monte_Carlo
Sampling Methods Parameter Estimation Variational Inference Inference Algorithms Belief Propagation Structure Learning |
gptkbp:has_property |
Undirected Graphs
Directed Graphs Latent Variables Observed Variables |
https://www.w3.org/2000/01/rdf-schema#label |
Probabilistic Graphical Models
|
gptkbp:is_characterized_by |
Graph Structure
Conditional Independence Uncertainty Representation |
gptkbp:is_evaluated_by |
Model Accuracy
Scalability Robustness Interpretability Computational Efficiency |
gptkbp:is_related_to |
gptkb:Artificial_Intelligence
gptkb:Data_Science Probability Theory Statistics |
gptkbp:is_used_in |
gptkb:DNA
gptkb:robotics Decision Making Economics Inference Recommendation Systems Social Network Analysis |
gptkbp:bfsParent |
gptkb:Daphne_Koller
|
gptkbp:bfsLayer |
3
|