Gaussian process regression-based detection and correction of disturbances in surface topography measurements.
Giacomo MaculottiGianfranco GentaDanilo QuagliottiMaurizio GalettoHans Nørgaard HansenPublished in: Qual. Reliab. Eng. Int. (2022)
Keyphrases
- gaussian process
- gaussian processes
- regression model
- model selection
- approximate inference
- gaussian process regression
- hyperparameters
- bayesian framework
- gaussian process classification
- semi supervised
- latent variables
- gaussian process models
- covariance function
- marginal likelihood
- sparse approximations
- closed form
- expectation propagation
- high resolution
- support vector
- machine learning