VisPro: a prognostic SqueezeNet and non-stationary Gaussian process approach for remaining useful life prediction with uncertainty quantification.
Zhaoyi XuYanjie GuoJoseph Homer SalehPublished in: Neural Comput. Appl. (2022)
Keyphrases
- non stationary
- gaussian process
- gaussian process models
- covariance function
- gaussian processes
- regression model
- financial time series
- model selection
- approximate inference
- bayesian framework
- gaussian process regression
- hyperparameters
- latent variables
- semi supervised
- expectation propagation
- autoregressive
- empirical mode decomposition
- sparse approximations
- human pose estimation
- image processing
- prior information