The following pages link to (Q3093363):
Displaying 16 items.
- Regularized vector field learning with sparse approximation for mismatch removal (Q75781) (← links)
- Sparse conjugate directions pursuit with application to fixed-size kernel models (Q413891) (← links)
- On-line independent support vector machines (Q962688) (← links)
- High dimensional data classification and feature selection using support vector machines (Q1681156) (← links)
- Sparse kernel learning with LASSO and Bayesian inference algorithm (Q1784554) (← links)
- Sparse kernel SVMs via cutting-plane training (Q1959504) (← links)
- Learning sparse conditional distribution: an efficient kernel-based approach (Q2044348) (← links)
- A sparsity driven kernel machine based on minimizing a generalization error bound (Q2270729) (← links)
- Significant vector learning to construct sparse kernel regression models (Q2383041) (← links)
- Hierarchical mixing linear support vector machines for nonlinear classification (Q2418742) (← links)
- Constructing Bayesian formulations of sparse kernel learning methods (Q2568020) (← links)
- On extension theorems and their connection to universal consistency in machine learning (Q2835986) (← links)
- Learning Theory (Q4680906) (← links)
- Supervised pre-clustering for sparse regression (Q5252905) (← links)
- Learning Theory (Q5473623) (← links)
- Propagating uncertainty through system dynamics in reproducing kernel Hilbert space (Q6554937) (← links)
