Kernel Bayes' rule: Bayesian inference with positive definite kernels.
Kenji FukumizuLe SongArthur GrettonPublished in: J. Mach. Learn. Res. (2013)
Keyphrases
- bayesian inference
- bayes rule
- support vector
- reproducing kernel hilbert space
- loss function
- kernel methods
- positive definite
- hilbert space
- probabilistic model
- hyperparameters
- kernel function
- graph kernels
- statistical inference
- bayesian methods
- prior information
- gaussian processes
- support vector machine
- feature space
- cross validation
- kernel matrix
- particle filter
- graphical models
- least squares
- active learning