Experiment-driven improvements in Human-in-the-loop Machine Learning Annotation via significance-based A/B testing.
Rafael Alfaro-FloresJosé Salas-BonillaLoic JuillardJuan Esquivel-RodríguezPublished in: CLEI (2021)
Keyphrases
- machine learning
- active learning
- data mining
- pattern recognition
- machine learning algorithms
- human interaction
- learning tasks
- information extraction
- supervised learning
- explanation based learning
- data driven
- test data
- computational models
- artificial intelligence
- feature engineering
- automatic image annotation
- learning algorithm
- computational biology
- inductive learning
- image annotation
- metadata
- text mining
- natural language processing
- inductive logic programming
- machine learning methods
- human subjects
- human computer interaction
- reinforcement learning
- annotation tool
- image retrieval