One-Side Probability Machine: Learning Imbalanced Classifiers Locally and Globally.
Rui ZhangKaizhu HuangPublished in: ICONIP (2) (2013)
Keyphrases
- machine learning
- machine learning algorithms
- machine learning methods
- decision trees
- imbalanced data sets
- machine learning approaches
- imbalanced data
- supervised classification
- feature selection
- support vector
- binary classification problems
- training data
- minority class
- learning classifier systems
- data mining
- probability distribution
- multiple classifier systems
- learning algorithm
- information extraction
- class membership
- training set
- multi class problems
- class imbalance
- inductive learning
- test set
- support vector machine
- natural language processing
- svm classifier
- pattern recognition
- naive bayes
- training samples
- text classification
- classifier combination
- text mining
- feature set
- multiclass classification
- roc analysis
- meta learning
- class distribution
- class labels
- learning problems
- single class
- supervised learning
- active learning
- rare class
- imbalanced datasets
- cost sensitive learning
- classifier ensemble
- decision boundary
- linear classifiers
- generalization error
- ensemble learning
- classification models