Least squares kernel ensemble regression in Reproducing Kernel Hilbert Space.
Xiangjun ShenYong DongJianping GouYongzhao ZhanJianping FanPublished in: Neurocomputing (2018)
Keyphrases
- reproducing kernel hilbert space
- least squares
- tikhonov regularization
- linear model
- kernel methods
- kernel function
- loss function
- kernel matrix
- learning theory
- euclidean space
- special case
- density estimation
- data dependent
- ls svm
- real valued
- reproducing kernel
- gaussian process
- input space
- hilbert schmidt
- positive definite
- distance measure
- domain adaptation
- ensemble methods
- learning algorithm
- optical flow
- singular value decomposition
- learning problems
- metric learning
- regression model
- support vector
- training data
- decision trees
- model selection
- test data
- pairwise
- semi parametric