Nonparametric Time Series Prediction Through Adaptive Model Selection.
Ron MeirPublished in: Mach. Learn. (2000)
Keyphrases
- model selection
- cross validation
- statistical inference
- hyperparameters
- bayesian learning
- sample size
- bayesian approaches
- regression model
- error estimation
- selection criterion
- parameter estimation
- non stationary
- statistical learning
- feature selection
- variable selection
- mixture model
- motion segmentation
- ls svm
- meta learning
- model selection criteria
- machine learning
- neuro fuzzy
- artificial neural networks
- training data
- adaptive filtering
- generalization bounds
- decision trees
- bayesian model selection
- automatic model selection