Summarizing Data Structures with Gaussian Process and Robust Neighborhood Preservation.
Koshi WatanabeKeisuke MaedaTakahiro OgawaMiki HaseyamaPublished in: ECML/PKDD (5) (2022)
Keyphrases
- gaussian process
- data structure
- gaussian processes
- gaussian process regression
- model selection
- regression model
- gaussian process classification
- hyperparameters
- approximate inference
- bayesian framework
- latent variables
- marginal likelihood
- sparse approximations
- cross validation
- dynamical model
- expectation propagation
- semi supervised
- gaussian process models
- sample size
- similarity measure
- covariance function
- decision trees