Fréchet kernel sliced inverse regression.
Yushen DongYichao WuPublished in: J. Multivar. Anal. (2022)
Keyphrases
- reproducing kernel hilbert space
- kernel ridge regression
- classification and regression problems
- sparse kernel
- kernel regression
- support vector
- gaussian processes
- regression model
- kernel methods
- gaussian process regression
- kernel function
- regression method
- regression problems
- support vector regression
- linear regression
- loss function
- gradient boosting
- covariance function
- machine learning
- mercer kernels
- ridge regression
- model selection
- relevance vector machine
- kernel partial least squares
- kernel matrix
- regression methods
- regression algorithm
- input space
- face recognition
- principal component regression
- neural network
- gaussian kernels
- kernel learning
- regression function
- multiple kernel learning
- kernel space
- regression analysis
- logistic regression
- training data
- protein structure alignment