Kernelized Elastic Net Regularization: Generalization Bounds, and Sparse Recovery.
Yunlong FengShao-Gao LvHanyuan HangJohan A. K. SuykensPublished in: Neural Comput. (2016)
Keyphrases
- elastic net
- generalization bounds
- data dependent
- learning theory
- regularization parameter
- generalization ability
- model selection
- statistical learning theory
- linear classifiers
- cross validation
- vc dimension
- learning problems
- multiple kernel learning
- kernel machines
- kernel learning
- kernel function
- support vector
- lower bound
- support vector machine
- feature selection
- reproducing kernel hilbert space
- feature extraction