Bayesian Regression Filters and the Issue of Priors.
Huaiyu ZhuRichard RohwerPublished in: Neural Comput. Appl. (1996)
Keyphrases
- sparse bayesian learning
- regression model
- gaussian processes
- bayesian models
- prior probabilities
- prior distribution
- bayesian approaches
- bayesian framework
- relevance vector machine
- simple linear
- image processing
- linear regression
- support vector
- dirichlet process mixture
- bayesian learning
- model averaging
- adaptive filtering
- belief nets
- partial least squares
- regression analysis
- posterior probability
- prior information
- maximum likelihood
- edge detection
- prior knowledge
- feature extraction