Maximal-Margin Approach for Cost-Sensitive Learning Based on Scaled Convex Hull.
Zhenbing LiuPublished in: ISNN (1) (2011)
Keyphrases
- convex hull
- cost sensitive learning
- maximal margin
- hyperplane
- linearly separable
- cost sensitive
- probability estimation
- class imbalance
- missing values
- misclassification costs
- linear classifiers
- active learning
- training samples
- data points
- decision boundary
- binary classifiers
- class distribution
- neural network
- naive bayes
- bayesian networks
- nearest neighbor
- multi class
- decision trees
- high resolution
- support vector