An AUC-based Active Learning Algorithm via LogitBoost for Binary Classification.
Zhe-Bin ZhangCharlotte WangPublished in: IIAI-AAI (2018)
Keyphrases
- binary classification
- boosting algorithms
- learning algorithm
- learning problems
- generalization error
- bipartite ranking
- multi class
- cost sensitive
- support vector
- model selection
- machine learning algorithms
- multi class classification
- machine learning
- class distribution
- ensemble methods
- support vector machine
- learning tasks
- multi label
- training data
- supervised learning
- binary classifiers
- class imbalance
- active learning
- reinforcement learning
- cross validation
- prediction accuracy
- naive bayes
- decision trees
- feature selection
- training set
- semi supervised learning
- training samples
- multi task learning
- upper bound
- error rate
- training examples
- multi task
- text categorization