Effects of Exploration Weight and Overtuned Kernel Parameters on Gaussian Process-Based Bayesian Optimization Search Performance
Gaussian process-based Bayesian optimization (GPBO) is used to search parameters in machine learning, material design, etc. It is a method for finding optimal solutions in a search space through the following four procedures. (1) Develop a Gaussian process regression (GPR) model using observed data....
Enregistré dans:
| Auteur principal: | |
|---|---|
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI AG
2023-07-01
|
| Collection: | Mathematics |
| Sujets: | |
| Accès en ligne: | https://www.mdpi.com/2227-7390/11/14/3067 |
| Tags: |
Pas de tags, Soyez le premier à ajouter un tag!
|