Bayesian Optimization Algorithm
GPTKB entity
Statements (32)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:algorithm
Optimization Method |
| gptkbp:acquisitionFunction |
Expected Improvement
Probability of Improvement Upper Confidence Bound |
| gptkbp:advantage |
Efficient for Expensive Functions
|
| gptkbp:alternativeTo |
Grid Search
Random Search |
| gptkbp:appliesTo |
gptkb:Machine_Learning
Engineering Design Hyperparameter Optimization |
| gptkbp:firstDescribed |
Mockus et al. 1978
|
| https://www.w3.org/2000/01/rdf-schema#label |
Bayesian Optimization Algorithm
|
| gptkbp:limitation |
Computational Cost of Model Fitting
Model Selection Sensitivity Scalability to High Dimensions |
| gptkbp:openSource |
gptkb:Spearmint
gptkb:SMAC gptkb:Hyperopt GPyOpt scikit-optimize |
| gptkbp:originatedIn |
Statistics
|
| gptkbp:relatedTo |
Sequential Model-Based Optimization
Surrogate Model |
| gptkbp:type |
gptkb:Gaussian_Process
gptkb:Random_Forest |
| gptkbp:usedFor |
Black-box Optimization
Hyperparameter Tuning |
| gptkbp:uses |
Acquisition Function
Probabilistic Model |
| gptkbp:bfsParent |
gptkb:Hierarchical_Bayesian_Optimization_Algorithm
|
| gptkbp:bfsLayer |
7
|