On Robustness and Regularization of Structural Support Vector Machines.
MohamadAli TorkamaniDaniel LowdPublished in: ICML (2014)
Keyphrases
- support vector
- large margin classifiers
- learning machines
- kernel function
- logistic regression
- kernel machines
- structural features
- classification accuracy
- binary classification
- feature selection
- polynomial kernels
- support vector machine
- loss function
- regularization parameter
- structural information
- neural network
- linear discriminant analysis
- cross validation
- data sets
- generalization ability
- generalization error
- kernel methods
- computational efficiency
- regularization term
- support vectors
- data dependent
- model selection
- scheduling problem
- regularization methods
- image processing
- projection operator