Gaussian Process Kernels for Pattern Discovery and Extrapolation.
Andrew Gordon WilsonRyan Prescott AdamsPublished in: ICML (3) (2013)
Keyphrases
- pattern discovery
- gaussian process
- gaussian processes
- covariance function
- gaussian process classification
- gaussian process regression
- regression model
- data analysis
- pattern mining
- association rule mining
- bayesian framework
- approximate inference
- model selection
- latent variables
- sequential patterns
- hyperparameters
- data mining
- recurring patterns
- sparse approximations
- semi supervised
- support vector
- kernel function
- gaussian process models
- expectation propagation
- kernel methods
- non stationary
- probabilistic model
- incomplete data
- bayesian networks