Model Selection of Hammerstein System Nonlinearity under Heavy Noise.
Zygmunt HasiewiczGrzegorz MzykPrzemyslaw SliwinskiPawel WachelPublished in: ALCOSP (2013)
Keyphrases
- model selection
- cross validation
- statistical learning
- parameter estimation
- hyperparameters
- machine learning
- bayesian learning
- regression model
- sample size
- meta learning
- variable selection
- marginal likelihood
- information criterion
- gaussian process
- noise level
- feature selection
- motion segmentation
- noise reduction
- mixture model
- statistical inference
- error estimation
- selection criterion
- bayesian approaches
- automatic model selection
- missing data
- model selection criteria
- signal to noise ratio
- bayesian information criterion
- bayesian model selection