A perturbation signal based data-driven Gaussian process regression model for in-process part quality prediction in robotic countersinking operations.
Mateo LecoVisakan KadirkamanathanPublished in: Robotics Comput. Integr. Manuf. (2021)
Keyphrases
- regression model
- gaussian process
- data driven
- gaussian processes
- approximate inference
- gaussian process regression
- quality prediction
- bayesian framework
- regression analysis
- covariance function
- model selection
- signal processing
- generalized linear models
- semi supervised
- non stationary
- prior knowledge
- explanatory variables
- multivariate regression
- expectation propagation
- conditional distribution
- gaussian process models
- signal to noise ratio
- variational inference
- closed form
- generative model
- image quality
- active learning
- pairwise
- high quality
- feature selection
- machine learning