BOOMER - An algorithm for learning gradient boosted multi-label classification rules.
Michael RappPublished in: Softw. Impacts (2021)
Keyphrases
- learning algorithm
- classification rules
- classification algorithm
- multi label
- ant miner
- semi supervised
- genetic programming
- text categorization
- learning process
- learning problems
- machine learning
- active learning
- small number
- supervised learning
- training data
- face recognition
- random forests
- binary classification
- multi label classification
- associative classification
- multi label learning