Instance selection for multi-label learning based on a scalable evolutionary algorithm.
Juan Antonio Romero del CastilloDomingo Ortiz-BoyerNicolás García-PedrajasPublished in: ICDM (Workshops) (2021)
Keyphrases
- instance selection
- multi label learning
- evolutionary algorithm
- semi supervised learning
- labeled data
- text classification
- multi label
- unlabeled data
- nearest neighbor
- semi supervised
- multiple instance learning
- feature selection
- label propagation
- multi class
- supervised learning
- data reduction
- active learning
- genetic algorithm
- knowledge discovery and data mining
- genetic programming
- classification accuracy
- concept drift
- text categorization
- co training
- training data
- machine learning
- class labels
- unsupervised learning