An Active Learning Based on Uncertainty and Density Method for Positive and Unlabeled Data.
Jun LuoWenan ZhouYu DuPublished in: ICA3PP (1) (2018)
Keyphrases
- high accuracy
- active learning
- cost function
- similarity measure
- support vector machine svm
- support vector machine
- dynamic programming
- experimental evaluation
- high precision
- synthetic data
- segmentation algorithm
- theoretical analysis
- probabilistic model
- significant improvement
- prior knowledge
- semi supervised
- support vector
- reinforcement learning
- feature extraction
- error rate
- image sequences
- learning algorithm