Transfer Learning Across Variants and Versions: The Case of Linux Kernel Size.
Hugo MartinMathieu AcherJuliana Alves PereiraLuc LesoilJean-Marc JézéquelDjamel Eddine KhelladiPublished in: IEEE Trans. Software Eng. (2022)
Keyphrases
- transfer learning
- linux kernel
- learning tasks
- knowledge transfer
- labeled data
- active learning
- cross domain
- machine learning
- reinforcement learning
- multi task
- text classification
- manifold alignment
- semi supervised learning
- operating system
- text categorization
- target domain
- databases
- transfer knowledge
- cross domain learning
- software systems
- learning algorithm
- unlabeled data
- source code
- open source
- collaborative filtering
- semi supervised
- decision trees
- e learning
- clone detection
- data sets