An integrated surrogate model constructing method: annealing combinable Gaussian process
From MaRDI portal
Publication:6188162
DOI10.1016/j.ins.2022.01.021OpenAlexW4206210859MaRDI QIDQ6188162
No author found.
Publication date: 1 February 2024
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2022.01.021
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Bayesian model selection based on proper scoring rules
- False discoveries occur early on the Lasso path
- Not so naive Bayes: Aggregating one-dependence estimators
- Least angle regression. (With discussion)
- The adaptive and the thresholded Lasso for potentially misspecified models (and a lower bound for the Lasso)
- Debiasing the Lasso: optimal sample size for Gaussian designs
- On a Monotonicity Problem in Step-Down Multiple Test Procedures
- Scaled sparse linear regression
- Bayesian Model Averaging for Linear Regression Models
- LLE Score: A New Filter-Based Unsupervised Feature Selection Method Based on Nonlinear Manifold Embedding and Its Application to Image Recognition
- Theory of Ridge Regression Estimation with Applications
- 10.1162/153244303322753616
- Handbook of Image Processing and Computer Vision
- Regularization and Variable Selection Via the Elastic Net
- Model Selection and Estimation in Regression with Grouped Variables
This page was built for publication: An integrated surrogate model constructing method: annealing combinable Gaussian process