A note on model selection for small sample regression.
Masanori KawakitaYoko OieJun'ichi TakeuchiPublished in: ISITA (2010)
Keyphrases
- model selection
- small sample
- sample size
- regression model
- cross validation
- feature selection
- hyperparameters
- parameter estimation
- machine learning
- variable selection
- random sampling
- ls svm
- high dimensional
- gaussian process
- model selection criteria
- unsupervised learning
- multivariate regression
- missing data
- nearest neighbor
- support vector machine
- data sets