A Fully Bayesian Gradient-Free Supervised Dimension Reduction Method using Gaussian Processes.
Raphael GautierPiyush PanditaSayan GhoshDimitri MavrisPublished in: CoRR (2020)
Keyphrases
- reduction method
- fully bayesian
- gaussian processes
- gaussian process
- semi supervised
- selection algorithm
- bayesian framework
- regression model
- approximate inference
- latent variables
- hyperparameters
- model selection
- maximum likelihood
- learning algorithm
- generative model
- machine learning
- incremental learning
- feature selection
- supervised learning
- multiscale
- support vector
- image processing
- markov chain monte carlo