S2OSC: A Holistic Semi-Supervised Approach for Open Set Classification.
Yang YangHongchen WeiZhen-Qiang SunGuang-Yu LiYuanchun ZhouHui XiongJian YangPublished in: ACM Trans. Knowl. Discov. Data (2022)
Keyphrases
- semi supervised
- supervised learning
- decision trees
- semi supervised classification
- pattern classification
- pattern recognition
- classification accuracy
- machine learning
- classification scheme
- feature vectors
- classification systems
- pairwise
- automatic classification
- classification models
- unsupervised learning
- support vector machine svm
- supervised classification
- classification process
- labeled and unlabeled data
- unlabeled samples
- classification rules
- classification method
- semi supervised learning
- text classification
- training data
- support vector
- active learning
- co training
- data sets
- feature extraction
- label propagation
- label information
- feature space
- class labels
- support vector machine
- feature set
- labeled data
- machine learning methods
- training samples