Intrinsic Gaussian Process on Unknown Manifolds with Probabilistic Metrics.
Mu NiuZhenwen DaiPokman CheungYizhu WangPublished in: CoRR (2023)
Keyphrases
- gaussian process
- gaussian processes
- latent space
- regression model
- gaussian process regression
- bayesian framework
- semi supervised
- approximate inference
- latent variables
- probabilistic model
- generative model
- hyperparameters
- gaussian process classification
- covariance function
- model selection
- expectation propagation
- sparse approximations
- gaussian process models
- bayesian networks
- manifold learning
- prior knowledge
- noise level
- high dimensional
- support vector
- similarity measure