Model Selection for Small Sample Regression.
Olivier ChapelleVladimir VapnikYoshua BengioPublished in: Mach. Learn. (2002)
Keyphrases
- model selection
- small sample
- sample size
- regression model
- cross validation
- feature selection
- hyperparameters
- parameter estimation
- ls svm
- machine learning
- random sampling
- variable selection
- gaussian process
- unsupervised learning
- multivariate regression
- model selection criteria
- maximum likelihood
- upper bound
- high dimensionality
- support vector machine