Physics-based material parameters extraction from perovskite experiments via Gaussian process.
Hualin ZhanViqar AhmadAzul MayonGrace TabiAnh Dinh BuiZhuofeng LiDaniel WalterHieu NguyenKlaus WeberThomas WhiteKylie CatchpolePublished in: CoRR (2024)
Keyphrases
- gaussian process
- hyperparameters
- conditional distribution
- gaussian processes
- model selection
- regression model
- gaussian process regression
- bayesian framework
- latent variables
- gaussian process classification
- marginal likelihood
- approximate inference
- expectation propagation
- maximum likelihood
- parameter estimation
- closed form
- parameter space
- expectation maximization
- prior information
- bayesian inference
- semi supervised
- gaussian process models
- cross validation
- support vector
- sparse approximations
- covariance function
- sample size
- active learning
- data streams
- probabilistic model
- information extraction
- parameter values