Towards Hyperparameter Optimizing of Sparse Bayesian Learning Based on Stein's Unbiased Risk Estimator.
Fangqing XiaoDirk SlockPublished in: ISIT (Workshops) (2024)
Keyphrases
- sparse bayesian learning
- maximum a posteriori
- gaussian processes
- relevance vector machine
- least squares
- hyperparameters
- maximum likelihood
- sparse learning
- random sampling
- semi supervised
- model selection
- gaussian process
- higher order
- markov random field
- image reconstruction
- learning algorithm
- bayesian framework
- probability distribution