Statements (54)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:television_channel
|
| gptkbp:bfsLayer |
6
|
| gptkbp:bfsParent |
gptkb:Andrew_Patrick_Mc_Callum
|
| gptkbp:analyzes |
Directed Graphs
Factor Graphs |
| gptkbp:can_be |
Temporal Processes
|
| gptkbp:challenges |
Computational Complexity
Model Selection Parameter Estimation Data Sparsity |
| gptkbp:developed_by |
Bayesian Networks
|
| gptkbp:game_components |
Edges
Nodes |
| gptkbp:has_programs |
gptkb:viewpoint
gptkb:studio gptkb:robot Bioinformatics |
| https://www.w3.org/2000/01/rdf-schema#label |
Dynamic Bayesian Networks
|
| gptkbp:is_a |
Probabilistic Graphical Model
|
| gptkbp:is_characterized_by |
Conditional Independence
Temporal Dependencies Dynamic Structure |
| gptkbp:is_enhanced_by |
gptkb:software_framework
gptkb:Deep_Learning gptkb:Graph_Neural_Networks Machine Learning Techniques |
| gptkbp:is_evaluated_by |
Bayesian Inference
Cross-Validation Likelihood Performance Metrics Posterior Probability Confusion Matrix Error Rates |
| gptkbp:is_implemented_in |
Programming Languages
Software Tools |
| gptkbp:is_popular_in |
gptkb:Research_Institute
Industry Applications |
| gptkbp:is_related_to |
Hidden Markov Models
Kalman Filters |
| gptkbp:is_studied_in |
gptkb:Mathematician
Computer Science Engineering Statistics |
| gptkbp:is_used_for |
Control Systems
Diagnosis Prediction State Estimation |
| gptkbp:is_used_in |
gptkb:Artificial_Intelligence
gptkb:software_framework |
| gptkbp:represents |
Uncertainty
|
| gptkbp:requires |
Learning Algorithms
Inference Algorithms |
| gptkbp:training |
gptkb:Database_Management_System
Observations |