Gaussian Process Covariance Kernels for Pattern Discovery and Extrapolation
Andrew Gordon WilsonRyan Prescott AdamsPublished in: CoRR (2013)
Keyphrases
- pattern discovery
- gaussian process
- gaussian processes
- gaussian process classification
- covariance function
- reproducing kernel hilbert space
- gaussian process regression
- regression model
- hyperparameters
- association rule mining
- pattern mining
- data analysis
- semi supervised
- sequential patterns
- model selection
- data mining
- expectation propagation
- bayesian framework
- support vector
- latent variables
- covariance matrix
- gaussian process models
- kernel function
- incomplete data
- recurring patterns
- data mining techniques
- pairwise
- real world
- feature space
- higher order
- multi dimensional
- random sampling
- machine learning
- bayesian inference
- incremental learning
- kernel methods