SURE: Screening unlabeled samples for reliable negative samples based on reinforcement learning.
Ying LiHang SunWensi FangQin MaSiyu HanRui Wang-SattlerWei DuQiong YuPublished in: Inf. Sci. (2023)
Keyphrases
- unlabeled samples
- reinforcement learning
- positive samples
- negative samples
- semi supervised
- labeled samples
- semi supervised learning
- incremental learning
- labeled data
- training samples
- support vector machine
- mixture model
- unlabeled data
- machine learning
- active learning
- supervised learning
- data distribution
- negative feedback
- learning process
- positive and negative
- discriminative information
- semi supervised classification
- positive examples
- unsupervised learning
- learning problems
- learning algorithm
- small number
- sample set
- transfer learning
- text classification