Keyphrases
- gaussian processes
- hilbert space
- kernel regression
- vector space
- kernel function
- bayesian inference
- bayesian learning
- bayesian networks
- bayesian decision
- multiple kernel learning
- posterior probability
- kernel methods
- maximum likelihood
- dimensionality reduction
- input space
- euclidean space
- posterior distribution
- data driven
- low dimensional
- distance measure
- feature space
- kernel machines
- mutual subspace method
- neural network
- kernel space
- bayesian analysis
- kernel pca
- bayesian estimation
- component analysis
- bayesian methods
- manifold learning
- high dimensional data