Manifold-Based Inference for a Supervised Gaussian Process Classifier.
Anis FradiChafik SamirAnne-Françoise YaoPublished in: ICASSP (2018)
Keyphrases
- gaussian process
- semi supervised
- covariance function
- expectation propagation
- gaussian processes
- learning algorithm
- gaussian process regression
- approximate inference
- model selection
- hyperparameters
- feature space
- manifold learning
- latent variables
- bayesian framework
- regression model
- feature selection
- latent space
- training data
- variational bayes
- sparse approximations
- support vector
- gaussian process models
- labeled data
- probabilistic inference
- decision trees
- supervised learning
- data sets
- low dimensional
- bayesian inference
- dynamic bayesian networks
- high dimensional
- generative model
- bayesian networks
- image classification
- active learning
- semi supervised learning
- non stationary