Pseudo-Bayesian Learning with Kernel Fourier Transform as Prior.
Gaël LetarteEmilie MorvantPascal GermainPublished in: CoRR (2018)
Keyphrases
- fourier transform
- bayesian learning
- frequency domain
- model selection
- signal processing
- posterior distribution
- fourier coefficients
- kernel methods
- feature space
- support vector
- prior knowledge
- discrete fourier transform
- cross validation
- maximum a posteriori
- parameter estimation
- maximum likelihood
- prior information
- markov random field