An Empirical Comparison of Three Boosting Algorithms on Real Data Sets with Artificial Class Noise.
Ross A. McDonaldDavid J. HandIdris A. EckleyPublished in: Multiple Classifier Systems (2003)
Keyphrases
- boosting algorithms
- class noise
- class imbalance
- cost sensitive
- multi class
- loss function
- binary classification
- learning algorithm
- noise model
- noisy data
- generalization error
- agnostic learning
- misclassification costs
- imbalanced data
- ensemble methods
- weak classifiers
- class distribution
- binary classification problems
- high dimensionality
- data sets
- pairwise
- active learning
- base classifiers
- linear classifiers
- high dimensional