A Leave-K-Out Cross-Validation Scheme for Unsupervised Kernel Regression.
Stefan KlankeHelge J. RitterPublished in: ICANN (2) (2006)
Keyphrases
- cross validation
- kernel regression
- model selection
- regression model
- variable selection
- hyperparameters
- nadaraya watson
- training set
- support vector
- unsupervised learning
- semi supervised
- parameter optimization
- parameter estimation
- regression methods
- nearest neighbor
- sample size
- classification accuracy
- linear regression
- random fields
- learning algorithm
- genetic algorithm