Gaussian Process Based Expected Information Gain Computation for Bayesian Optimal Design.
Zhihang XuQifeng LiaoPublished in: Entropy (2020)
Keyphrases
- optimal design
- information gain
- gaussian process
- gaussian processes
- text categorization
- feature selection
- regression model
- mutual information
- decision trees
- hyperparameters
- expectation propagation
- model selection
- bayesian framework
- semi supervised
- latent variables
- posterior distribution
- bayesian inference
- naive bayes
- correlation coefficient
- maximum likelihood
- bayesian networks