Bayesian Deconvolution of Functions in RKHS Using MCMC Techniques.
Gianluigi PillonettoBradley M. BellPublished in: System Modelling and Optimization (2003)
Keyphrases
- posterior distribution
- posterior probability
- bayesian inference
- markov chain monte carlo
- reproducing kernel
- denoising
- bayesian networks
- reproducing kernel hilbert space
- loss function
- monte carlo
- markov chain
- least squares
- hilbert space
- kernel methods
- approximate inference
- parameter estimation
- generative model
- maximum likelihood
- motion blur
- random projections
- high dimensional
- learning algorithm