A compression technique for analyzing disagreement-based active learning.
Yair WienerSteve HannekeRan El-YanivPublished in: J. Mach. Learn. Res. (2015)
Keyphrases
- active learning
- learning algorithm
- random sampling
- data compression
- training set
- training examples
- supervised learning
- machine learning
- pool based active learning
- selective sampling
- compression scheme
- learning strategies
- image compression
- semi supervised learning
- relevance feedback
- semi supervised
- annotation effort
- labeled data
- transfer learning
- compression algorithm
- compression ratio
- learning process
- experimental design
- random access
- compression rate
- sample selection
- batch mode active learning
- neural network