Functional Regularized Least Squares Classication with Operator-valued Kernels.
Hachem KadriAsma RabaouiPhilippe PreuxEmmanuel DuflosAlain RakotomamonjyPublished in: ICML (2011)
Keyphrases
- regularized least squares
- reproducing kernel hilbert space
- sparse representation
- kernel function
- loss function
- kernel methods
- support vector
- special case
- learning theory
- support vector regression
- feature space
- data sets
- learning problems
- feature selection
- cost function
- feature extraction
- linear model
- regularization term
- domain adaptation
- machine learning