K-means-driven Gaussian Process data collection for angle-resolved photoemission spectroscopy.
Charles N. MeltonMarcus Michael NoackTaisuke OhtaThomas E. BeechemJeremy RobinsonXiaotian ZhangAaron BostwickChris JozwiakRoland J. KochPetrus H. ZwartAlexander HexemerEli RotenbergPublished in: Mach. Learn. Sci. Technol. (2020)
Keyphrases
- gaussian process
- data collection
- k means
- electron microscopy
- gaussian processes
- regression model
- gaussian process regression
- x ray
- approximate inference
- model selection
- gaussian process classification
- semi supervised
- bayesian framework
- clustering algorithm
- data analysis
- sensor networks
- hyperparameters
- dynamical model
- latent variables
- expectation propagation
- covariance function
- data sets
- expectation maximization
- sparse approximations
- marginal likelihood
- closed form
- generative model
- decision trees