Consistent Regression of Biophysical Parameters with Kernel Methods.
Emiliano DiazAdrian Perez-SuayValero LaparraGustau Camps-VallsPublished in: IGARSS (2018)
Keyphrases
- kernel methods
- kernel ridge regression
- reproducing kernel hilbert space
- kernel parameters
- support vector
- kernel function
- learning problems
- kernel matrix
- parameter selection
- support vector machine
- machine learning
- mercer kernels
- learning tasks
- kernel matrices
- regression model
- feature space
- multiple kernel learning
- feature selection
- support vector regression
- kernel principal component analysis
- data sets
- multiple kernel
- decision trees
- regression algorithm
- graph kernels
- kernel learning
- input data
- gaussian processes
- hyperparameters
- multi task
- linear regression