On generalization bounds, projection profile, and margin distribution.
Ashutosh GargSariel Har-PeledDan RothPublished in: ICML (2002)
Keyphrases
- generalization bounds
- data dependent
- large margin classifiers
- learning theory
- generalization ability
- model selection
- ranking algorithm
- vc dimension
- statistical learning theory
- support vector
- learning problems
- machine learning
- training set
- linear classifiers
- kernel machines
- uniform convergence
- ensemble methods
- ranking functions
- data distribution
- pattern recognition
- feature selection
- search engine