The Choquet Kernel on the use of Regression Problem.
Ali Fallah TehraniPublished in: Inf. Sci. (2021)
Keyphrases
- kernel ridge regression
- reproducing kernel hilbert space
- sparse kernel
- classification and regression problems
- support vector
- gaussian processes
- kernel regression
- gaussian process regression
- kernel methods
- regression model
- regression method
- kernel function
- gradient boosting
- locally weighted
- regression analysis
- loss function
- principal component regression
- regression algorithm
- covariance function
- mercer kernels
- feature space
- relevance vector machine
- linear regression
- fuzzy integral
- kernel partial least squares
- model selection
- ridge regression
- regression problems
- gaussian process
- machine learning
- graph kernels
- kernel matrices
- kernel machines
- aggregating algorithm
- simple linear
- training set
- sparse regression
- convolution kernel
- kernel matrix
- conditional density estimation
- hilbert schmidt independence criterion
- input space