Kolmogorov's structure functions and model selection.
Nikolai K. VereshchaginPaul M. B. VitányiPublished in: IEEE Trans. Inf. Theory (2004)
Keyphrases
- model selection
- cross validation
- hyperparameters
- bayesian learning
- parameter estimation
- statistical learning
- mixture model
- statistical inference
- model selection criteria
- regression model
- sample size
- feature selection
- motion segmentation
- meta learning
- selection criterion
- gaussian process
- parameter determination
- data sets
- information criterion
- subspace information criterion
- bayesian methods
- generalization error
- learning algorithm
- machine learning
- error estimation
- leave one out cross validation
- markov random field