A new modification and application of item response theory-based feature selection for different machine learning tasks.
Onder CobanPublished in: Concurr. Comput. Pract. Exp. (2022)
Keyphrases
- learning tasks
- multi task
- feature selection
- meta learning
- machine learning
- learning problems
- transfer learning
- multi task learning
- supervised learning
- learning algorithm
- machine learning algorithms
- learning experience
- kernel methods
- support vector
- feature extraction
- text categorization
- k nearest neighbor
- classification accuracy
- learning process
- student model
- kernel learning
- item response theory