Covariance Kernel Learning Schemes for Gaussian Process Based Prediction Using Markov Chain Monte Carlo.
Gargi RoyKane WarriorDalia ChakrabartyPublished in: EPIA (1) (2023)
Keyphrases
- gaussian process
- kernel learning
- gaussian process models
- semi supervised
- gaussian processes
- model selection
- kernel matrix
- multi task learning
- kernel function
- multiple kernel learning
- latent variables
- bayesian framework
- hyperparameters
- regression model
- kernel methods
- support vector regression
- pairwise
- data sets
- pairwise constraints
- learning tasks
- incremental learning
- bayesian inference
- labeled data
- semi supervised learning
- dimensionality reduction
- closed form
- feature space
- machine learning