Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space.
Roman RosipalLeonard J. TrejoPublished in: J. Mach. Learn. Res. (2001)
Keyphrases
- reproducing kernel hilbert space
- partial least squares regression
- kernel methods
- loss function
- kernel function
- special case
- learning theory
- euclidean space
- reproducing kernel
- gaussian process
- density estimation
- real valued
- data dependent
- learning problems
- kernel matrix
- distance measure
- positive definite
- domain adaptation
- representer theorem
- input space
- neural network
- hilbert schmidt
- support vector machine
- feature space
- support vector
- linear model
- face recognition