A Comparative Analysis of Convergence Rate for Imbalanced Datasets of Active Learning Models.
Haoke ZhangWanqing WuSandeep PirbhulalGuanglin LiHongyi ZhangPublished in: DSL (2018)
Keyphrases
- convergence rate
- learning models
- imbalanced datasets
- cost sensitive learning
- feature selection algorithms
- step size
- loss function
- machine learning
- learning algorithm
- learning tasks
- machine learning algorithms
- decision trees
- class imbalance
- conditional random fields
- classification models
- semi supervised learning
- learning problems
- class distribution
- cost sensitive
- sampling methods
- semi supervised
- class labels
- active learning
- similarity measure