Machine Learning
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Bayesian Optimization
Quick Definition
Optimizing expensive functions using a probabilistic model
Full Definition
A strategy for optimizing expensive functions using a probabilistic surrogate model.
Examples
hyperparameter tuning, experimental design, NAS
Related Terms
hyperparameter-tuning
gaussian-process
More Machine Learning Terms
Reinforcement Learning ML
Learning optimal decisions through environment interaction
Cross-Validation
Evaluating model performance with multiple data splits
Margin
Distance between decision boundary and nearest data points
AdaBoost
Combining weak classifiers with adaptive sample weighting
DBSCAN
Density-based clustering finding clusters of varying shapes
K-Means
Partitioning data into k clusters by updating centroids