Margin Error Bounds for Support Vector Machines on Reproducing Kernel Banach Spaces.
Liangzhi ChenHaizhang ZhangPublished in: Neural Comput. (2017)
Keyphrases
- error bounds
- support vector
- large margin classifiers
- reproducing kernel
- hilbert space
- kernel methods
- kernel function
- reproducing kernel hilbert space
- maximum margin
- theoretical analysis
- soft margin
- loss function
- support vector machine
- cross validation
- worst case
- hyperparameters
- generalization ability
- classification accuracy
- learning algorithm
- multivariate time series
- feature maps
- support vectors
- learning problems
- kullback leibler divergence
- riemannian manifolds
- finite dimensional
- special case
- continuous functions
- infinite dimensional
- image registration
- high dimensional
- upper bound