A Recurrent Gaussian Process Regression Model with Composite Kernel for Industrial Process Quality Prediction.
Yanping ChenCong GaoWeihui YangZhongmin WangZhong YuHong XiaPublished in: NaNA (2019)
Keyphrases
- gaussian process
- regression model
- industrial process
- quality prediction
- gaussian processes
- kernel regression
- gaussian process regression
- covariance function
- industrial processes
- image quality
- approximate inference
- model selection
- kernel function
- conditional distribution
- quality improvement
- feature selection
- feature space
- variational inference
- multi task learning
- dirichlet process
- induction motor
- image data
- prior knowledge
- decision trees