Multi-label Positive and Unlabeled Learning and its Application to Common Vulnerabilities and Exposure Categorization.
Masaki AotaTao BanTakeshi TakahashiNoboru MurataPublished in: TrustCom (2021)
Keyphrases
- multi label
- text categorization
- learning tasks
- active learning
- multi label learning
- learning process
- prior knowledge
- supervised learning
- image classification
- unsupervised learning
- learning algorithm
- data sets
- semi supervised
- positive and unlabeled examples
- label space
- image annotation
- knn
- data analysis
- reinforcement learning
- training data
- machine learning
- neural network