Keyphrases
- gaussian processes
- kernel methods
- kernel function
- support vector
- bayesian networks
- data driven
- relevance vector machine
- hilbert space
- vector space
- bayesian learning
- feature space
- manifold learning
- kernel space
- positive definite
- kernel pca
- component analysis
- reproducing kernel hilbert space
- posterior distribution
- graph kernels
- euclidean space
- low dimensional
- dimensionality reduction
- machine learning