Consistent regression of biophysical parameters with kernel methods.
Emiliano DiazAdrián Pérez-SuayValero LaparraGustau Camps-VallsPublished in: CoRR (2020)
Keyphrases
- kernel methods
- kernel ridge regression
- reproducing kernel hilbert space
- support vector
- kernel parameters
- kernel function
- learning problems
- machine learning
- parameter selection
- kernel matrix
- feature space
- mercer kernels
- learning tasks
- kernel pca
- regression algorithm
- kernel trick
- multiple kernel
- expectation maximization
- maximum likelihood
- support vector machine
- positive semidefinite
- data mining
- linear regression
- support vector regression
- loss function
- feature extraction