Model Selection of Kernel Ridge Regression for Extrapolation.
Akira TanakaMasanari NakamuraHideyuki ImaiPublished in: MLSP (2021)
Keyphrases
- model selection
- kernel ridge regression
- parameter selection
- kernel matrix
- cross validation
- kernel methods
- hyperparameters
- parameter estimation
- gradient boosting
- statistical learning
- regression model
- sample size
- machine learning
- meta learning
- feature selection
- kernel learning
- gaussian process
- incomplete data
- variable selection
- mixture model
- learning machines
- data sets
- data mining