Data-Dependent Bounds for Multi-category Classification Based on Convex Losses.
Ilya DesyatnikovRon MeirPublished in: COLT (2003)
Keyphrases
- multi category
- data dependent
- risk minimization
- rademacher complexity
- sparse data
- generalization bounds
- pattern recognition
- support vector machine
- risk bounds
- extreme learning machine
- upper bound
- generalization ability
- machine learning
- uniform convergence
- image processing
- supervised learning
- lower bound
- neural network
- dimension reduction
- loss function
- model selection
- high dimensional
- feature space