Training Data Debugging for the Fairness of Machine Learning Software.
Yanhui LiLinghan MengLin ChenLi YuDi WuYuming ZhouBaowen XuPublished in: ICSE (2022)
Keyphrases
- machine learning
- training data
- learning algorithm
- decision trees
- supervised learning
- hardware designs
- software testing
- support vector machine
- test data
- prior knowledge
- data sets
- java programs
- pattern recognition
- active learning
- feature selection
- program understanding
- computer systems
- test cases
- inductive learning
- software tools
- software development
- source code
- software maintenance
- training set
- training dataset
- learning tasks
- machine learning methods
- software design
- resource allocation
- semi supervised learning
- learning systems
- machine learning algorithms
- training examples
- labeled data
- classification accuracy
- computer science
- reinforcement learning
- training samples
- software components
- unlabeled data
- information extraction
- data analysis
- hardware design
- fault localization
- artificial intelligence
- neural network