Gaussian process surrogates for failure detection: A Bayesian experimental design approach.
Hongqiao WangGuang LinJinglai LiPublished in: J. Comput. Phys. (2016)
Keyphrases
- experimental design
- gaussian process
- failure detection
- gaussian processes
- marginal likelihood
- hyperparameters
- expectation propagation
- regression model
- model selection
- bayesian framework
- sample size
- fault detection
- posterior distribution
- latent variables
- empirical studies
- active learning
- bayesian inference
- bayesian methods
- semi supervised
- bayesian networks
- feature selection
- class imbalance
- maximum likelihood
- highly reliable
- closed form
- data sets
- multi class
- graphical models
- high dimensional
- virtual learning environments
- machine learning
- data mining