Generalized Boosting Algorithms for Convex Optimization.
Alexander GrubbDrew BagnellPublished in: ICML (2011)
Keyphrases
- convex optimization
- boosting algorithms
- multi class
- cost sensitive
- loss function
- primal dual
- binary classification
- multi class boosting
- total variation
- generalization error
- low rank
- learning algorithm
- convex optimization problems
- weak classifiers
- soft margin
- base classifiers
- data sets
- ensemble methods
- training data
- linear classifiers
- optimal solution
- image processing
- support vector
- pairwise
- active learning
- support vector machine