Exploring Opportunistic Meta-knowledge to Reduce Search Spaces for Automated Machine Learning.
Tien-Dung NguyenDavid Jacob KedzioraKatarzyna MusialBogdan GabrysPublished in: CoRR (2021)
Keyphrases
- meta knowledge
- machine learning
- meta learning
- search space
- learning tasks
- knowledge base
- inductive learning
- machine learning algorithms
- learning algorithm
- domain knowledge
- decision trees
- feature selection
- active learning
- model selection
- data mining
- meta rules
- machine learning methods
- natural language processing
- reinforcement learning
- knowledge acquisition
- text classification
- supervised learning
- information extraction
- inductive logic programming
- knowledge representation
- optimal solution
- bayesian networks