A Compression Technique for Analyzing Disagreement-Based Active Learning.
Yair WienerSteve HannekeRan El-YanivPublished in: CoRR (2014)
Keyphrases
- active learning
- semi supervised
- machine learning
- learning strategies
- data compression
- selective sampling
- training examples
- training set
- supervised learning
- transfer learning
- compression algorithm
- random sampling
- active learning strategies
- compression scheme
- learning algorithm
- compression ratio
- annotation effort
- neural network
- semi supervised learning
- image compression
- labeled data
- learning process
- generalization error
- class imbalance
- compression rate
- batch mode
- crowd sourced
- music emotion classification
- arithmetic coding
- experimental design
- cost sensitive
- information systems
- genetic algorithm
- data mining