Decoupling the Class Label and the Target Concept in Machine Unlearning.
Jianing ZhuBo HanJiangchao YaoJianliang XuGang NiuMasashi SugiyamaPublished in: CoRR (2024)
Keyphrases
- class labels
- target concept
- training examples
- labeled examples
- concept drift
- positive and negative
- uniform distribution
- domain theory
- classification algorithm
- labeled data
- supervised learning
- unlabeled data
- small number
- training data
- learning algorithm
- training set
- relational learning
- membership queries
- active learning
- pac learning
- positive examples
- multi label
- semi supervised
- support vector
- decision trees
- semi supervised learning
- data streams
- multiple instance learning
- pairwise
- machine learning
- text classification
- feature set
- data sets
- information retrieval
- sample complexity
- learning problems
- bayesian networks
- database
- prior knowledge
- learning process