Nonlinear Model Selection - Application to an Indirect Inductive Measurement of Conductivity.
Marie-Eve DavoustGilles FleuryPublished in: IEEE Trans. Instrum. Meas. (2006)
Keyphrases
- model selection
- cross validation
- hyperparameters
- parameter estimation
- bayesian learning
- machine learning
- statistical learning
- sample size
- statistical inference
- mixture model
- marginal likelihood
- meta learning
- regression model
- parameter determination
- error estimation
- selection criterion
- information criterion
- model selection criteria
- generalization error
- motion segmentation
- variable selection
- bayesian information criterion
- image segmentation
- gaussian process
- learning theory
- leave one out cross validation
- least squares
- high dimensional
- feature selection