Sparsity vs. Large Margins for Linear Classifiers.
Ralf HerbrichThore GraepelJohn Shawe-TaylorPublished in: COLT (2000)
Keyphrases
- linear classifiers
- generalization error
- linear classification
- multi class
- high dimensional
- upper bound
- hyperplane
- model selection
- training data
- learning algorithm
- cross validation
- active learning
- principal components
- hyperparameters
- image classification
- maximum likelihood
- sample size
- pairwise
- training set
- feature space