An Approach to Predicting Fatigue Crack Growth Under Mixed-Mode Loading Based on Improved Gaussian Process.
Honghui WangXin FangGuijie LiuYingchun XieXiaojie TianDingxin LengWeilei MuPublished in: IEEE Access (2021)
Keyphrases
- gaussian process
- mixed mode
- gaussian processes
- regression model
- gaussian process regression
- gaussian process classification
- hyperparameters
- model selection
- bayesian framework
- semi supervised
- approximate inference
- latent variables
- covariance function
- gaussian process models
- expectation propagation
- random sampling
- machine learning
- sample size
- generative model
- pairwise
- decision trees