Hierarchical Gaussian Process Modeling and Estimation of State-action Transition Dynamics in Breast Cancer.
Zihang QiuFarhad ImaniHui YangPublished in: EMBC (2020)
Keyphrases
- breast cancer
- gaussian process
- survival analysis
- regression model
- logistic regression
- model selection
- state action
- semi supervised
- bayesian framework
- approximate inference
- hyperparameters
- latent variables
- parameter estimation
- reinforcement learning
- state transitions
- random variables
- graphical models
- closed form
- evaluation function
- support vector
- machine learning