Recursive identification with regularization and on-line hyperparameters estimation.
Bernard VauTudor-Bogdan AirimitoaiePublished in: CoRR (2024)
Keyphrases
- hyperparameters
- regularization parameter
- prior information
- model selection
- cross validation
- bayesian inference
- bayesian framework
- closed form
- posterior distribution
- support vector
- random sampling
- gaussian process
- maximum a posteriori
- em algorithm
- sample size
- gaussian processes
- maximum likelihood
- parameter estimation
- incremental learning
- noise level
- incomplete data
- parameter settings
- image restoration
- expectation maximization
- super resolution
- markov random field
- prior knowledge
- missing values
- multiscale