Kernel-Matching Pursuits With Arbitrary Loss Functions.
Jason R. StackGerald J. DobeckXuejun LiaoLawrence CarinPublished in: IEEE Trans. Neural Networks (2009)
Keyphrases
- loss function
- reproducing kernel hilbert space
- support vector
- pairwise
- learning to rank
- loss minimization
- logistic regression
- kernel classifiers
- squared error
- square loss
- kernel function
- kernel methods
- learning models
- risk minimization
- convex loss functions
- update rules
- hinge loss
- multiple kernel learning
- graphical models
- web search
- feature space