Monotonic Gaussian Process for Physics-Constrained Machine Learning With Materials Science Applications.
Anh TranKathryn A. MaupinTheron RodgersPublished in: J. Comput. Inf. Sci. Eng. (2023)
Keyphrases
- gaussian process
- materials science
- machine learning
- model selection
- gaussian processes
- computer science
- regression model
- hyperparameters
- gaussian process regression
- approximate inference
- related fields
- bayesian framework
- artificial intelligence
- latent variables
- semi supervised
- scientific data
- covariance function
- knowledge acquisition
- cross validation
- learning algorithm
- knowledge engineering
- expectation propagation
- gaussian process models
- decision trees
- learning tasks
- information extraction
- active learning
- sparse approximations
- topic models
- non stationary
- text mining
- knowledge discovery
- knowledge representation
- query processing